Simulation Research on how to Improve the Range Resolution of Pulse Compression Radar Based on Phase Coding

2011 ◽  
Vol 143-144 ◽  
pp. 634-638 ◽  
Author(s):  
Yu Tang
Keyword(s):  
Compression Ratio ◽  
Pulse Compression ◽  
Matched Filter ◽  
Side Lobe ◽  
Radar System ◽  
Radar Signal ◽  
Pulse Modulation ◽  
Range Resolution ◽  
Set Up ◽  
Barker Codes

Phase coded radar signal is one of the pulse-pulse modulation signal in the radar system. Based on the characteristics of matched filtering, we theoretically analyze the basic principle of the phase coded compression radar system. In the Matlab platform, we set up a simulation model which is used for matching filter, when the radar transmitting signal is Barke code signal. The simulation results show that Echo signal can obtain certain pulse compression ratio. By the matched filter, the main lobe amplitude of 13 bits Barker code signal is 22 times the rate of side-lobe. 13 bits Barker codes by the matched filter have the maximum pulse compression ratio.

scholarly journals Implementation of Multi-Objective Grey Wolf Optimizer to Minimize The Sidelobes And Reduce Mainlobe Width

2018 ◽  
Vol 7 (2.20) ◽  
pp. 219
Author(s):  
K Ravi Kumar ◽  
Prof. P. Rajesh Kumar
Keyword(s):  
Frequency Modulation ◽  
Pulse Compression ◽  
Matched Filter ◽  
High Energy ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Compression Technique ◽  
Range Resolution ◽  
Multi Objective ◽  
Small Targets

Range resolution in radar can be achieved by splitting the long pulse of high energy into the high bandwidth of short pulses using pulse compression technique. Frequency modulation (Linear frequency modulation (LFM)) signal is used to improve range resolution. To get better range resolution, frequency step is introduced between a train of LFM pulses known as stepped frequency pulse train (the SFPT). The SFPT suffers from grating lobes when the product of sub-pulse duration and frequency step becomes more than one. The grating lobes and sidelobes present in the vicinity of the mainlobe. It can cause the false alarm detection and hide the small targets. In this work, Multi-Objective Grey Wolf Algorithm (MOGWO) is used to set the parameters of SFPT to mitigate the grating lobes and minimize the sidelobes at the matched filter output. Trade-off solutions between sidelobes versus grating lobes and mainlobe width versus sidelobes are obtained using the Pareto front for different ranges of SFPT parameters.  

scholarly journals Mismatched Filter Design using Improved Cuckoo Search Algorithm for Optimum Detection

2019 ◽  
Vol 9 (2S3) ◽  
pp. 93-97
Keyword(s):  
Pulse Compression ◽  
Filter Design ◽  
Matched Filter ◽  
Search Algorithm ◽  
Short Pulse ◽  
Cuckoo Search ◽  
Optimization Techniques ◽  
Radar Signal ◽  
Lévy Flight ◽  
Levy Flight

In radar signal processing pulse compression has been extensively used which solves the problem of maintaining simultaneously high transmit energy of long pulse and large range resolution of short pulse. The concept of pulse compression can be best understood from matched filtering that determines the ratio of peak of the sidelobe to peak value of mainlobe. But the resolution of weak targets from stronger one is difficult due to range sidelobes in the auto-correlation pattern of matched filter. With this idea of reducing these sidelobes, various optimization techniques are used. This paper represents a method to optimize the performance of chaotic sequence using mismatched filter. The optimization completely depends on the design of coefficients of mismatched filter at the receiver side. Here improved cuckoo search method is used instead of Lévy flight cuckoo search with the differential evolution technique to complete the design of cascaded mismatched filter. Finally, improved results are obtained as compared to Lévy flight method of cuckoo search.

scholarly journals Design and Implementation Pulse Compression for S-Band Surveillance Radar

2020 ◽  
Vol 7 (1) ◽  
pp. 20
Author(s):  
Kalfika Yani ◽  
Fiky Y Suratman ◽  
Koredianto Usman
Keyword(s):  
Signal Processing ◽  
High Speed ◽  
Pulse Compression ◽  
Continuous Wave ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Digital Platform ◽  
Range Resolution ◽  
Pulse Compression Radar ◽  
Cw Radar

The radar air surveillance system consists of 4 main parts, there are antenna, RF front-end, radar signal processing, and radar data processing. Radar signal processing starts from the baseband to IF section. The radar waveform consists of two types of signal, there are continuous wave (CW) radar, and pulse compression radar [1]. Range resolution for a given radar can be significantly improved by using very short pulses. Pulse compression allows us to achieve the average transmitted power of a relatively long pulse, while obtaining the range resolution corresponding to a short pulse. Pulse compression have compression gain. With the same power, pulse compression radar can transmit signal further than CW radar. In the modern radar, waveform is implemented in digital platform. With digital platform, the radar waveform can optimize without develop the new hardware platform. Field Programmable Gate Array (FPGA) is the best platform to implemented radar signal processing, because FPGA have ability to work in high speed data rate and parallel processing. In this research, we design radar signal processing from baseband to IF using Xilinx ML-605 Virtex-6 platform which combined with FMC-150 high speed ADC/DAC.

scholarly journals Modified Radar Signal Model using NLFM

2019 ◽  
Vol 8 (2S3) ◽  
pp. 513-516
Keyword(s):  
Interference Mitigation ◽  
Matched Filter ◽  
Signal To Noise Ratio ◽  
Nonlinear Function ◽  
Side Lobe ◽  
Radar Signal ◽  
Target Range ◽  
Nonlinear Frequency ◽  
Good Resolution ◽  
Signal Model

Intended to the setback of high side lobes of the linear frequency modulation (LFM) signal, we put forward a new signal model using nonlinear frequency (NLFM) signal to overcome the issue. NLFM is a promising way for achieving lower signal to noise ratio, good resolution and better interference mitigation. The novel signal model is designed to enhance the target range estimation and to reduce the side lobe levels. In this paper, a new signal model is designed based on the principle of fusion of two stages. First stage is exponential based nonlinear function and the second stage is a linear function. The simulations were performed for the designed signal model and are compared with the NLFM signal designed using two stage LFM functions. Simulation results show that the designed signal has significant reduction in side lobe levels of the matched filter response

scholarly journals New Side Lobe Cancellation Method of Linear Frequency Modulated Radar Signals

2020 ◽  
Vol 9 (4) ◽  
pp. 1275-1279
Keyword(s):  
Pulse Compression ◽  
Matched Filter ◽  
Roc Curves ◽  
Side Lobe ◽  
Radar Detection ◽  
Operating Characteristics ◽  
Detection Capability ◽  
Linear Frequency ◽  
Optimum Filter ◽  
Long Pulse

Pulse Compression (PC) technique has many advantages in signal processing of radar systems which enhances the radar performance. For a long pulse, the range detection capability can be increased with PC while maintain the advantage of resolution in range for uncompressed pulse. There are many PC techniques such as Binary and Linear Frequency Modulation (LFM) Codes, which can be utilize in radar. The radar detection performance is affected by unwanted signals, which called side lobes that may mask the weaker useful signals, which are present near to strong signals. Pulse compression that uses LFM code is discussed and contrasted with matched filter keep tracked of Hamming windowing filter technique to eliminate the level effect of side lobes. In the present paper, a proposed optimum filter is introduced to enhance both the radar detection capability and resolution in range. The proposed optimum filter representation is evaluated and compared with the classical matched filter response associated with Hamming windowing filter according to the representation of radar detection through Receiver Operating Characteristics (ROC) curves and resolution performance.

scholarly journals Comparison of the performance of different radar pulse compression techniques in an incoherent scatter radar measurement

2009 ◽  
Vol 27 (2) ◽  
pp. 797-806 ◽  
Author(s):  
B. Damtie ◽  
M. S. Lehtinen
Keyword(s):  
Adaptive Filtering ◽  
Pulse Compression ◽  
Matched Filter ◽  
Signal To Noise Ratio ◽  
Minimum Mean Square Error ◽  
Radar Signal ◽  
Incoherent Scatter Radar ◽  
Low Snr ◽  
Incoherent Scatter ◽  
Scatter Radar

Abstract. Improving an estimate of an incoherent scatter radar signal is vital to provide reliable and unbiased information about the Earth's ionosphere. Thus optimizing the measurement spatial and temporal resolutions has attracted considerable attention. The optimization usually relies on employing different kinds of pulse compression filters in the analysis and a matched filter is perhaps the most widely used one. A mismatched filter has also been used in order to suppress the undesirable sidelobes that appear in the case of matched filtering. Moreover, recently an adaptive pulse compression method, which can be derived based on the minimum mean-square error estimate, has been proposed. In this paper we have investigated the performance of matched, mismatched and adaptive pulse compression methods in terms of the output signal-to-noise ratio (SNR) and the variance and bias of the estimator. This is done by using different types of optimal radar waveforms. It is shown that for the case of low SNR the signal degradation associated to an adaptive filtering is less than that of the mismatched filtering. The SNR loss of both matched and adaptive pulse compression techniques was found to be nearly the same for most of the investigated codes for the case of high SNR. We have shown that the adaptive filtering technique is a compromise between matched and mismatched filtering method when one evaluates its performance in terms of the variance and the bias of the estimator. All the three analysis methods were found to have the same performance when a sidelobe-free matched filter code is employed.

A Low-Cost Chaotic Radar Signal Design Method

2014 ◽  
Vol 644-650 ◽  
pp. 4265-4268
Author(s):  
Ya Xuan Zhang ◽  
Jin Feng Hu ◽  
Zhi Rong Lin ◽  
Wan Ge Li ◽  
Hui Ai
Keyword(s):  
Matched Filter ◽  
Design Method ◽  
Low Cost ◽  
Chaotic Signal ◽  
Radar System ◽  
Radar Signal ◽  
Signal Design ◽  
Transmitted Signal ◽  
Band Limited

The matched filter of chaotic radar system proposed by Ned J. Corron can be implemented through low-cost analog devices. But the spectrum of transmitted signal of this system is dispersion, causing signal in the process of propagation prone to spectrum leaked. To solve the problem, this paper proposes a low-cost signal design method. In transmitter, making chaotic signal become a band-limited signal by filtering to shape the spectrum; in receiver, using synchronization and filtering to recover the chaotic signal. The proposed method is implemented with low-cost analog devices; in addition, the method is still valid when the SNR is as low as-20dB.

scholarly journals A Mobile Rapid-Scanning X-band Polarimetric (RaXPol) Doppler Radar System

2013 ◽  
Vol 30 (7) ◽  
pp. 1398-1413 ◽  
Author(s):  
Andrew L. Pazmany ◽  
James B. Mead ◽  
Howard B. Bluestein ◽  
Jeffrey C. Snyder ◽  
Jana B. Houser
Keyword(s):  
High Speed ◽  
Pulse Compression ◽  
Doppler Radar ◽  
Frequency Hopping ◽  
Radar System ◽  
Doppler Velocity ◽  
Range Resolution ◽  
Standard Data ◽  
X Band ◽  
Rapid Scanning

Abstract A novel, rapid-scanning, X-band (3-cm wavelength), polarimetric (RaXPol), mobile radar was developed for severe-weather research. The radar employs a 2.4-m-diameter dual-polarized parabolic dish antenna on a high-speed pedestal capable of rotating the antenna at 180° s−1. The radar can complete a 10-elevation-step volume scan in about 20 s, while maintaining a 180-record-per-second data rate. The transmitter employs a 20-kW peak-power traveling wave tube amplifier that can generate pulse compression and frequency-hopping waveforms. Frequency hopping permits the acquisition of many more independent samples possible than without frequency hopping, making it possible to scan much more rapidly than conventional radars. Standard data products include vertically and horizontally polarized equivalent radar reflectivity factor, Doppler velocity mean and standard deviation, copolar cross-correlation coefficient, and differential phase. This paper describes the radar system and illustrates the capabilities of the radar through selected analyses of data collected in the U.S. central plains during the 2011 spring tornado season. Also noted are opportunities for experimenting with different signal-processing techniques to reduce beam smearing, increase sensitivity, and improve range resolution.

scholarly journals Simulation and Performance Analysis of Chaotic Sequences using Enhanced Cuckoo Search Optimization Method

2019 ◽  
Vol 8 (4) ◽  
pp. 10225-10231
Keyword(s):  
Adaptive Filters ◽  
Pulse Compression ◽  
Matched Filter ◽  
Search Algorithm ◽  
Signal To Noise Ratio ◽  
Cuckoo Search ◽  
Optimization Method ◽  
Chaotic Sequence ◽  
Radar Signal ◽  
Linear Filter

The mostdesirable property required for pulse compression is that the output should have low peak sidelobes that prevent weaker targets from being masked off in the nearby strong targets. Pulse compression can be obtained with matched filter. Matched filter is an optimal linear filter used in radar signal processing and various communication fields to increase the signal to noise ratio. The output of matched filter consists of unavoidable sidelobes which causes false alarm for multiple target detection in many radar system design.For this purpose, mismatched filter is used after matched filter. Inthis paper a new method of design of mismatched filter is discussed which reduces these sidelobes in the compressed waveform. Here new version of cuckoo search algorithm is used along with differential evolution techniquefor complete design of proposed filter to compare the performance of chaotic sequence. The performance of pulse compression is measured in terms of peak sidelobe ratio. The simulation results showthatdevelopmentin the performance of chaotic sequence is obtained at the output of cascaded filter. And further improved performance is achieved with adaptive filters

scholarly journals Signal Processing and Target Fusion Detection via Dual Platform Radar Cooperative Illumination

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5341 ◽  
Author(s):  
HuiJuan Wang ◽  
ZiYue Tang ◽  
YuanQing Zhao ◽  
YiChang Chen ◽  
ZhenBo Zhu ◽  
...  
Keyword(s):  
Signal Processing ◽  
False Alarm ◽  
Detection Probability ◽  
Pulse Compression ◽  
Fusion Rule ◽  
Radar System ◽  
Radar Signal ◽  
Bistatic Radar ◽  
Direct Wave ◽  
Fusion Detection

A modified signal processing and target fusion detection method based on the dual platform cooperative detection model is proposed in this paper. In this model, a single transmitter and dual receiver radar system is adopted, which can form a single radar and bistatic radar system, respectively. Clutter suppression is achieved by an adaptive moving target indicator (AMTI). By combining the AMTI technology and the traditional radar signal processing technology (i.e., pulse compression and coherent accumulation processing), the SNR is improved, and false targets generated by direct wave are suppressed. The decision matrix is obtained by cell averaging constant false alarm (CA-CFAR) and order statistics constant false alarm (OS-CFAR) processing. Then, the echo signals processed in the two receivers are fused by the AND-like fusion rule and OR-like fusion rule, and the detection probability after fusion detection in different cases is analyzed. Finally, the performance of the proposed method is quantitatively analyzed. Experimental results based on simulated data demonstrate that: (1) The bistatic radar system with a split transceiver has a larger detection distance than the single radar system, but the influence of clutter is greater; (2) the direct wave can be eliminated effectively, and no false target can be formed after suppression; (3) the detection probability of the bistatic radar system with split transceivers is higher than that of the single radar system; and (4) the detection probability of signal fusion detection based on two receivers is higher than that of the bistatic radar system and single radar system.

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