2016 IJETST- Vol.||03||Issue||05||Pages 723-729||May||ISSN 2348-9480 International Journal of Emerging Trends in Science and Technology Low Cost Radar For Target Movement And Heartbeat Measurement Allton Shibhu .J1 and Sudha .S2 1 Easwari engineering college and [email protected] 2 Easwari engineering college and [email protected] ABSTRACT The main aim of this project is to build low cost radar with simple circuit blocks. It is used to measure target movement and heart beat measurement. Costs are reduced in the project by choosing a simple FMCW architecture, using coffee cans for antenna. I verified the block using minicircuit components , designed two cantennas for transmitting and receiving purposes and designed a video amplifier along with a filter for Radar. The amplifier output and transmit synchronization pulses were fed into the right and left audio inputs of a mono stereo pin and given as input to laptop computer for digitization. The radar operates at ISM band centered at 2.4 GHz. The radar operates in ranging. Ramp is used to measure heart beat by varying amplitude. To record data .wav recorder program (for example, ’VLC’) is used in the computer. MATLAB scripts read the .wav data, process, and then form the appropriate plots. Key Words: : Frequency Modulated Continuous Wave(Fmcw), Inverse Discrete Fourier Transform(Idft), Radio Frequency(Rf), Cantenna. 1. INTRODUCTION Radar is an acronym for “radio detection and ranging.”A radar system usually operates in the ultra-high-frequency(UHF) or microwave part of the radio-frequency(RF) spectrum, and is used to detect the position and/or movements of objects. Radar can track storm systems, because precipitation reflects electromagnetic fields at certain frequencies. Radar can also render precise maps. Radar systems are widely used in air-traffic control, aircraft navigation, and marine navigation. High-power radar, using large dish antennas, has been used to measure distances to the moon, other planets, asteroids, and artificial satellites. From unnamed space probes, aradar has been used to map Venus, whose surface is obscured at visible wave lengths by a thick layer of clouds. Radar has been employed by NASA (the U.S. National Aeronautics and Space Administration) to make highly detailed topographical maps of the earth’s surface as well. Un-modulated CW radars have the disadvantage that they cannot measure range, because run time measurements is not possible (and necessary) in un-modulated CW-radars. This is achieved in modulated CW radars using the Allton Shibhu .J frequency shifting method. In this method, a signal that constantly changes in frequency around a fixed reference is used to detect stationary objects. Frequency is swept repeatedly between f1 and f2. On examining the received reflected frequencies (and with the knowledge of the transmitted frequency), range calculation can be done. If the target is moving, there is additional Doppler frequency shift which can be used to find if target is approaching or receding. FrequencyModulated Continuous Wave radars (FMCWs) are used in the project. The industrial, scientific, and medical radio band (ISM band) refers to a group of radio bands or parts of the radio spectrum that are internationally reserved for the use of radio frequency (RF) energy intended for scientific, medical and industrial requirements rather than for communications. ISM bands are generally open frequency bands, which vary according to different regions and permits. The 2.54 GHz ISM band is a commonly accepted band for worldwide operations. Microwave ovens, cordless phones, medical diathermy machines, military radars and industrial heaters are just some of the equipment that makes use of this ISM band.ISM bands are www.ijetst.in Page 723 IJETST- Vol.||03||Issue||05||Pages 723-729||May||ISSN 2348-9480 also called unlicensed bands. So we are using ISM band in the project. It is an FMCW radar centered at 2.4 GHz with less than 20mW of transmit power. To reduce cost, the antennas (transmit and receive) were made from coffee cans in an open ended circular waveguide configuration. The video output and transmit synchronization pulses were fed into the right and left audio inputs of a laptop computer for digitization. The radar operates in ranging. To record data we use a .wav recorder program (for example, ’VLC’) in the computer. MATLAB scripts read the .wav data, process, and then form the appropriate plots. The outline of the paper is as follows: Section II describes the proposed method which uses the FMCM and also estimates accuracy, sensitivity, specificity and further clutter removal through correct percentage of IDFT classification. It also explains the cantenna design calculations Section III, describes the experimental results and simulation outputs and finally Section IV, the paper is concluded. 2. METHODOLOGY USED 2016 2.2. FMCW Modular RF components were used because of ease of fabrication (making each module from scratch is time prohibitive) and understanding. When looking at the completed radar kit it is apparent how the radar system works. FMCW radar architecture was chosen because of its simplicity. It is not difficult to generate slow 20ms wideband linear FM chirps using a voltage controlled oscillator (VCO) and a ramp generator, and then de-chirp down to audio frequency range which can be digitized inexpensively using the audio input port of a laptop computer. The centre frequency is 2.4 GHz with a chirp bandwidth adjustable up to 330MHz. An equivalent short pulse radar system would require a significantly more complicated (and expensive) wide-band digitization system. 2.3. Cantenna To reduce the transmit-to-receive mutual coupling, separate transmit and receive antennas are used. For the laptop radar application, a simple metal coffee can acting as an open ended circular waveguide antenna is attractive, due to its low cost and good performance in terms of reflection coefficient, gain, and beam width. Fig 1: Experimental Block Diagram Fig 2: Basic Cantenna 2.1. Description The main aim of this experiment is to build low cost radar with simple circuit blocks. Costs are reduced in the kit by choosing a simple FMCW architecture, using coffee cans for antenna. The complete experimental block is shown in Figure3.2. In Phase 1 I verified the block using minicircuit components, designed two cantennas for transmitting and receiving purposes and designed a video amplifier with filter for Radar. Allton Shibhu .J A typical metal coffee can with diameter approximately 10 cm has the dominant TE11 circular waveguide mode cut off wavelength of approximately 17 cm corresponding to a cut-off frequency of 1.8 GHz, which allows good performance for the laptop radar operation at 2.4 GHz. At 2.4 GHz, the free space wavelength is 12.5 cm, and to excite the TE11 mode a onequarter www.ijetst.in Page 724 2016 IJETST- Vol.||03||Issue||05||Pages 723-729||May||ISSN 2348-9480 Relative power coupled between two antennas (transmits and receive) Pr( θ , ϕ )/Pt = Gt( θ , ϕ ) Gr( θ , ϕ ) λ2 / (4 π r )2 (4) Radiated power density Pd at a distance r from the transmit aperture is given by Fig 3: Cantenna with SMA wavelength monopole thin wire probe with length 3.125 cm (as measured from the tip of the probe to the inside metal surface of the coffee can) is used. The monopole wire probe is conveniently installed within the coffee can by extending the centre pin of a SMA bulkhead receptacle jack. At 2.4 GHz, the coffee can has a guide wavelength of 18.5 cm and, to provide a good impedance match, the monopole wire probe is spaced one quarter of the guide wavelength (4.6 cm) from the back wall of the waveguide. A plastic cover, which is typically used to seal the coffee can after it is opened, also serves as a microwave transparent material. 2.4. Design Equations The gain G(relative to an isotropic radiator) of an antenna aperture of arbitrary shape is given by the following expression: G= 4π Ae /λ2 (1) Where Ae is the antenna effective aperture area and λ is the wavelength. Pd ( θ , ϕ )= EIRP/ 4 π r2 = PtGt( θ , ϕ ) / 4 π r2 (5) Wavelength λ of electromagnetic wave in free space λ = c/ f (6) where cis the speed of light, f is the frequency TE11 mode cutoff wavelength λc in circular waveguide λc = c/ fc λc = 1.705 D (7) (8) where D is the diameter of the circular waveguide Dominant TE11 mode will not propagate below corresponding cutoff frequency. Guide wavelength λg – Wavelength is longer in waveguide compared to wavelength in free space. λg = λ / sqrt(1 –(λ/(1.705 D))^2) (9) 2.5. Design Calculations Stainless Steel: 1) Diameter=101mm Probe length=35mm Frequency=2.4 Ghz Fig 4: Cantenna Measurements Bandwidth=200 Mhz Effective isotropic radiated power (EIRP) is a function of the transmitted power Pt times the gain of the transmit antenna Gt( θ , ϕ ) EIRP( θ , ϕ )= PtGt( θ , ϕ ) 2) Diameter=101mm Probe length=30mm Frequency=2.5 Ghz (2) Transmit Power Density and Receive Power. Power received Pr by an aperture is the product of the incident power density Pdi and the effective aperture area Ae Bandwidth=400 Mhz 2.5.1. Model Calculation Circular waveguide: 1) Diameter=99mm Frequency=2.4 Ghz Pr = PdiAe (3) Allton Shibhu .J www.ijetst.in Page 725 IJETST- Vol.||03||Issue||05||Pages 723-729||May||ISSN 2348-9480 Wavelength λ = c/ f = 3* 10^8/ 2.4*10^9 =0.125*1000 = 125mm Circular wavelength, λc = c/ fc λc = 1.705 D =1.705*99 =168.79mm Cutoff Frequency , fc=c/λc =3*10^8/168.79 =0.01777356*10^8 =1.77*10^6 Hz Guided wavelength, λg = λ / sqrt(1 – (λ/(1.705D))^2) =125/sqrt(1-(125/(1.705*99))^2) =125/sqrt(1-(125/(168.79))^2) =125/sqrt(1-0.54843) =125/sqrt(0.45157) =125/0.6719895 =186.0147mm Height, h=3/4*λg =3/4*186.0147 =139.511mm Fig 5: Measured radar coffee can antenna. 2.6. Minicircuit Components In this project the mixer is used as a switch, where the pulse generator output is fed to IF port and the LO port is fed with a high frequency sine wave from a VCO/signal Allton Shibhu .J 2016 generator. The RF port gives out the pulse. In this project we have tested using Mini circuits ZEM-4300 mixer which has the features of wide frequency range 300 to 4300 MHz, low conversion loss 6.65 db. Power dividers (also power splitters and, when used in reverse, power combiners) and directional couplers are passive devices used in the field of radio technology. They couple a defined amount of the electromagnetic power in a transmission line to a port enabling the signal to be used in another circuit. An essential feature of directional couplers is that they only couple power flowing in one direction. Power entering the output port is coupled to the isolated port but not to the coupled port. Directional couplers are most frequently constructed from two coupled transmission lines set close enough together such that energy passing through one is coupled to the other. This technique is favoured at the microwave frequencies where transmission line designs are commonly used to implement many circuit elements. Directional couplers and power dividers have many applications, these include; providing a signal sample for measurement or monitoring, feedback, combining feeds to and from antennae, antenna beam forming, providing taps for cable distributed systems such as cable TV, and separating transmitted and received signals on telephone lines. A Low-noise amplifier (LNA) is an electronic amplifier used to amplify very weak signals (for example, signals captured by an antenna). Essentially, an LNA amplifies signals that are barely recognizable without adding a lot of noise, as the name implies. An LNA is usually located close to the signal source in order to reduce losses in the feed line or minimize interference. This arrangement is frequently used in microwave frequency systems such as Global Positioning Systems (GPS), because coaxial cable feed-line has a high loss at microwave frequencies. For example, 10 feet (3.0 m) of RG174 coaxial cable has a loss of 3.2 dB at 1 GHz the feed line would degrade the signal-to-noise ratio (SNR) by 3.2 dB (50 percent). A good LNA has a low NF (e.g. 1 dB), enough gain (e.g. 10 dB) and should have large enough inter-modulation and compression point (IP3 andP1dB). Further criteria areoperating bandwidth, gain flatness, stability, input, and output voltage standing wave ratio (VSWR).In this project we use this LNA www.ijetst.in Page 726 2016 IJETST- Vol.||03||Issue||05||Pages 723-729||May||ISSN 2348-9480 because it havehigh IP3, +42 dB low noise figure 2.5 dB broadband flat gain . Time-frequency toolbox was used mainly for the analysis. 2.7. Frequency Domain Analysis 3. EXPERIMENT DISCUSSION Frequency domain, or spectral analysis, is the most popular approach for the diagnosis of bearing faults. Frequency-domain techniques convert time-domain vibration signals into discrete frequency components using a fast Fourier transform (FFT). Simply stated, FFT mathematically converts time-domain vibration signals trace into a series of discrete frequency components. The Fast Fourier Transform (FFT) is an algorithm for calculation of the Desecrate Fourier Transform first published in 1965.In a frequency spectrum plot, the X-axis is frequency and the Y-axis is the amplitude of displacement, velocity, or acceleration. The main advantage of frequency-domain analysis over time-domain analysis is that it has ability to easily detect the certain frequency components of interest. James Taylor well explained the sequence of appearing and disappearing of peaks in the spectrum. Xk = ∑ 𝑥𝑛𝑁−1 𝑛=0 𝑒−𝑖2𝜋𝑘𝑛𝑁 (10) RESULTS AND Two experiments can be performed using the radar kit; Ranging, and Heart beat measurement as described below. 3.1. Ranging In this experiment, the radar is directed toward groups of moving targets. Both the right and the left audio channels are recorded using a .wav recorder (Fig. 1). A MATLAB script reads the .wav and examines the left-channel synchronization pulses looking for rising edges. Starting at the time of the rising edge, the script then computes an inverse discrete Fourier transform (IDFT) on 20 ms of data from the right channel. The logarithmic magnitude of the result is range-to-target. Coherent pulse-topulse subtraction is used to reject stationary clutter by about 25 dB allowing the ranging mode to be used to observe only moving targets. Ranging results for two walking pedestrians are plotted as a RTI plot (Fig. 2). Consider a person, when the person crosses over this movement produces impulse or impact of very short duration. The energy of this impact is distributed at low level over a wide range of frequencies due to that identification of movement is difficult to detect by the normal spectrum. This impact excites the natural frequency. In FFT, periodic impacts show up as a peak (with some harmonics) at the characteristics defect frequency corresponding to the person movement. Fig. 1: Range data is triggered 2.8. Software The software used for recording the .wav is done by Vlc version 2.1.0. The recorded file is imported in to matlab as .wav file for FFT. MATLAB is multi-paradigm numerical computing environment and fourth generation programming language. MATLAB 2051a was used to plot the Fast Fourier Transform of a .wav signal imported from the Audacity software. A Allton Shibhu .J Fig 2: Rti plot 3.2. Heartbeat Measurement www.ijetst.in Page 727 IJETST- Vol.||03||Issue||05||Pages 723-729||May||ISSN 2348-9480 In this experiment, the radar output is given as input to the scope and it is combined with signal generator along with ramp input. By the change in the amplitude of ramp, we can find the heartbeat measurement of a person. Fig 3 shows the variation in amplitude while seeing through oscilloscope, then this output is combined with ramp to get clear output of measurement of heartbeat. 2016 b Fig 4: a) Rti with clutter b)Rti without clutter REFERENCES Fig 3: Radar output in oscilloscope 3.3. Range-Time Intensity (RTI) Experiment & Results According to DTI plots, many inventive RTI experiments were designed. Figure 4 shows a number of results from these Ranging experiments. The first plot, named (a), shows a person walking first down a hall away from the radar system operating in ranging mode, then back again with clutter rejection. Image (b shows a person walking first down a hall away from the radar system operating in ranging mode, then back again without clutter rejection . These images are more clearer than others, because we use an improved 2-pulse clutter rejection method which subtracts the magnitude of the range profiles rather than using coherent subtraction, which is not as effective for this radar system because the rising edge of the left-channel synchronization pulses are under-sampled at audio frequency sample rates. [1] 1. G. L. Charvat, J. H. Williams, A. J. Fenn, S. Kogon, and J. S. Herd. RES.LL-003 Build a Small Radar System Capable of Sensing Range, Doppler, and Synthetic Aperture Radar Imaging, January IAP 2011. [2] 2. W. G. Carrara, R. S. Goodman, and R. M. Majewski, Spotlight Synthetic Aperture Radar Signal Processing Algorithms, Artech House, Boston, MA, 1995. [3] 3. N. Marcuvitz, Waveguide Handbook, MIT Radiation Laboratory Series, McGraw Hill, New York, 1951, pp. 70-71. [4] 4. W.W.S. Lee and E.K.N. Yung, "The input impedance of a coaxial line fed probe in a cylindrical waveguide," IEEE Transactions on Microwave Theory and Techniques, Vol. 42, No. 8, August 1994, pp. 1468-1473. [5] 5. J. P. Becker,, "Using antenna arrays to motivate the study of sinusoids," IEEE Transactions on Education, Vol. 53, No. 3, May 2010, pp. 209-215. [6] 6. G. L. Charvat, "A Low-Power Radar Imaging System," Ph.D. dissertation, Department of Electrical and Computer Engineering, Michigan State University, East Lansing 2007. [7] 7. “Enhanced Monopulse Radar Tracking Using Empirical Mode Decomposition”, Sherif A. Elgamel, John J. Soraghan, Department of Electronic and Electrical a Allton Shibhu .J www.ijetst.in Page 728 IJETST- Vol.||03||Issue||05||Pages 723-729||May||ISSN 2348-9480 2016 Engineering University of Strathclyde Glasgow, UK,2010. [8] 8. “Target Localization and Tracking in Noncoherent Multiple-Input Multiple-Output Radar Systems”,RuixinNiu, Rick S. Blum,PramodK. Varshney, Andrew L. Drozd, 2012. [9] 9. “Knowledge-Based Multitarget Ship Tracking for HF Surface Wave Radar Systems”,GemineVivone, Paolo Braca and JochenHorstmann, 2015. [10] 10. “Tracking with a High-Resolution 2D Spectral Estimation Based Automotive Radar”, Stein Arne Askeland and Torbjörn Ekman, 2015. [11] 11. “A Polarization Information Aided Probabilistic Data Association for Target Tracking in Polarimetric Radar System”,Mei Xia, Wei Yi, Suqi Li, Guolong Cui, Lingjiang Kong and Yulin Huang School of Electronic Engineering University of Electronic Science and Technology of China Chengdu, China,2015. [12] 12. “Cognitive Radar for Target Tracking Using a Software Defined Radar System”,Kristine L. Bell, Joel T. Johnson, Graeme E. Smith, Christopher J. Baker, and MuralidharRangaswamy ,Dept. of Electrical and Computer Engineering and Electro Science Laboratory, The Ohio State University,2015. Allton Shibhu .J www.ijetst.in Page 729
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