Long‐time coherent integration detection of weak manoeuvring target via integration algorithm, improved axis rotation discrete chirp‐Fourier transform

2015 ◽  
Vol 9 (7) ◽  
pp. 917-926 ◽  
Author(s):  
Xuan Rao ◽  
Haihong Tao ◽  
Jian Xie ◽  
Jia Su ◽  
Weiping Li
Keyword(s):  
Fourier Transform ◽  
Integration Algorithm ◽  
Coherent Integration ◽  
Long Time ◽  
Axis Rotation

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.

Long-Time Coherent Integration Algorithm for Radar Maneuvering Weak Target With Acceleration Rate

2019 ◽  
Vol 57 (6) ◽  
pp. 3528-3542 ◽  
Author(s):  
Penghui Huang ◽  
Xiang-Gen Xia ◽  
Guisheng Liao ◽  
Zhiwei Yang ◽  
Yuhong Zhang
Keyword(s):  
Integration Algorithm ◽  
Coherent Integration ◽  
Acceleration Rate ◽  
Long Time ◽  
Weak Target

Dim Moving Target’s Detection Based on Keystone Transform

2013 ◽  
Vol 303-306 ◽  
pp. 986-990
Author(s):  
Yun Fei Guo ◽  
Ting Ting Feng ◽  
Xin Liu ◽  
Kong Shuai Fan
Keyword(s):  
Detection System ◽  
Integration Time ◽  
Integration Algorithm ◽  
Keystone Transform ◽  
System A ◽  
Coherent Integration ◽  
Integration Period ◽  
Long Time ◽  
Integration Effect ◽  
Range Migration

For the problem of weak target’s detection under lower signal noise ratio in radar detection system, a key technique is to enhance target echo energy by long time coherent integration. During the integration period, the target may migrate across radar range cells with integration time increasing. Direct coherent integration will lead to echo energy spread in range cells and deteriorate integration effect. A coherent integration algorithm based on a modified keystone transform is proposed in this paper. It can correct range migration caused by the radial velocity of the moving target before coherent integration. Simulation result shows that the proposed algorithm can correct range migration efficiently and improve coherent integration capability.

A Novel Long-Time Coherent Integration Algorithm for Doppler-Ambiguous Radar Maneuvering Target Detection

2020 ◽  
Vol 20 (16) ◽  
pp. 9394-9407 ◽  
Author(s):  
Ke Jin ◽  
Gongquan Li ◽  
Tao Lai ◽  
Tian Jin ◽  
Yongjun Zhao
Keyword(s):  
Target Detection ◽  
Integration Algorithm ◽  
Maneuvering Target ◽  
Coherent Integration ◽  
Long Time
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