Long‐time coherent integration method for high‐speed target detection using frequency agile radar

2016 ◽  
Vol 52 (11) ◽  
pp. 960-962 ◽  
Author(s):  
Dinghe Wang ◽  
Caiyong Lin ◽  
Qinglong Bao ◽  
Zengping Chen
Keyword(s):  
Target Detection ◽  
High Speed ◽  
Integration Method ◽  
Coherent Integration ◽  
Frequency Agile ◽  
Long Time

scholarly journals Coherent Integration Method of High-Speed Target for Frequency Agile Radar

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 18984-18993 ◽  
Author(s):  
Ruiqi Tian ◽  
Caiyong Lin ◽  
Qinglong Bao ◽  
Zengping Chen
Keyword(s):  
High Speed ◽  
Integration Method ◽  
Coherent Integration ◽  
Frequency Agile

scholarly journals Generalized Dechirp-Keystone Transform for Radar High-Speed Maneuvering Target Detection and Localization

2021 ◽  
Vol 13 (17) ◽  
pp. 3367
Author(s):  
Jibin Zheng ◽  
Kangle Zhu ◽  
Zhiyong Niu ◽  
Hongwei Liu ◽  
Qing Huo Liu
Keyword(s):  
Target Detection ◽  
High Speed ◽  
Computational Cost ◽  
Noise Performance ◽  
Maneuvering Target ◽  
Keystone Transform ◽  
Coherent Integration ◽  
Range Function ◽  
Long Time ◽  
Detection And Localization

The multivariate range function of the high-speed maneuvering target induces modulations on both the envelop and phase, i.e., the range cell migration (RCM) and Doppler frequency migration (DFM) which degrade the long-time coherent integration used for detection and localization. To solve this problem, many long-time coherent integration methods have been proposed. Based on mechanisms of typical methods, this paper names two signal processing modes, i.e., processing unification (PU) mode and processing separation (PS) mode, and presents their general forms. Thereafter, based on the principle of the PS mode, a novel long-time coherent integration method, known as the generalized dechirp-keystone transform (GDKT), is proposed for radar high-speed maneuvering target detection and localization. The computational cost, energy integration, peak-to-sidelobe level (PSL), resolution, and anti-noise performance of the GDKT are analyzed and compared with those of the maximum likelihood estimation (MLE) method and keystone transform-dechirp (KTD) method. With mathematical analyses and numerical simulations, we validate two main superiorities of the GDKT, including (1) the statistically optimal anti-noise performance, and (2) the low computational cost. The real radar data is also used to validate the GDKT. It is worthwhile noting that, based on closed analytical formulae of the MLE method, KTD method, and GDKT, several doubts in radar high-speed maneuvering target detection and localization are mathematically interpreted, such as the blind speed sidelobe (BSSL) and the relationship between the PU and PS modes.

A Coherent Integration Method for Moving Target Detection Using Frequency Agile Radar

2019 ◽  
Vol 16 (2) ◽  
pp. 206-210 ◽  
Author(s):  
Penghui Huang ◽  
Shuoshuo Dong ◽  
Xingzhao Liu ◽  
Xue Jiang ◽  
Guisheng Liao ◽  
...  
Keyword(s):  
Target Detection ◽  
Integration Method ◽  
Moving Target ◽  
Moving Target Detection ◽  
Coherent Integration ◽  
Frequency Agile

scholarly journals Coherent Integration Method Based on Radon-NUFFT for Moving Target Detection Using Frequency Agile Radar

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2176
Author(s):  
Jiameng Pan ◽  
Qian Zhu ◽  
Qinglong Bao ◽  
Zengping Chen
Keyword(s):  
Fourier Transform ◽  
Target Detection ◽  
Integration Method ◽  
Phase Fluctuation ◽  
Low Rank ◽  
Moving Target ◽  
Low Rank Approximation ◽  
Coherent Integration ◽  
Frequency Agile ◽  
Rank Approximation

This paper considers the coherent integration problem for moving target detection using frequency agile (FA) radar, involving range cell migration (RCM) and the nonuniform phase fluctuations among different pulses caused by range-agile frequency (R-AF) coupling and velocity-time-agile frequency (V-T-AF) coupling. After the analysis of the term corresponding to the phase fluctuation caused by V-T-AF coupling, the term can be regarded as related to an equivalent non-uniform slow time, and nonuniform fast Fourier transform (NUFFT) could be the solution. So a fast coherent integration method combining Radon Fourier transform (RFT) and NUFFT based on low-rank approximation, i.e., Radon-NUFFT, is proposed. In this method, the RCM is solved by Radon algorithm via target trajectory searching, the non-uniform phase fluctuation caused by R-AF coupling is compensated by constructing a compensation item corresponding to the range and agile frequency. In addition, the compensation of the non-uniform phase fluctuation caused by V-T-AF coupling is converted into a problem of spectral analysis of non-uniform sampling complex-valued signal, which is solved by the NUFFT based on low rank approximation. Compared with the existing methods, the proposed method can realize the coherent integration for FA radar accurately and quickly. The effectiveness of the proposed method is verified by simulation experiments.

scholarly journals Clutter Cancellation and Long Time Integration for GNSS-Based Passive Bistatic Radar

2021 ◽  
Vol 13 (4) ◽  
pp. 701 ◽  
Author(s):  
Binbin Wang ◽  
Hao Cha ◽  
Zibo Zhou ◽  
Bin Tian
Keyword(s):  
Fourier Transform ◽  
Target Detection ◽  
Time Integration ◽  
Detection Performance ◽  
Bistatic Radar ◽  
Detection Range ◽  
Robust Detection ◽  
Coherent Integration ◽  
Long Time ◽  
Long Time Integration

Clutter cancellation and long time integration are two vital steps for global navigation satellite system (GNSS)-based bistatic radar target detection. The former eliminates the influence of direct and multipath signals on the target detection performance, and the latter improves the radar detection range. In this paper, the extensive cancellation algorithm (ECA), which projects the surveillance channel signal in the subspace orthogonal to the clutter subspace, is first applied in GNSS-based bistatic radar. As a result, the clutter has been removed from the surveillance channel effectively. For long time integration, a modified version of the Fourier transform (FT), called long-time integration Fourier transform (LIFT), is proposed to obtain a high coherent processing gain. Relative acceleration (RA) is defined to describe the Doppler variation results from the motion of the target and long integration time. With the estimated RA, the Doppler frequency shift compensation is carried out in the LIFT. This method achieves a better and robust detection performance when comparing with the traditional coherent integration method. The simulation results demonstrate the effectiveness and advantages of the proposed processing method.

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