Adaptive Detection of Wideband Radar Range Spread Targets with Range Walking in Clutter

2012 ◽  
Vol 48 (3) ◽  
pp. 2052-2064 ◽  
Author(s):  
Fengzhou Dai ◽  
Hongwei Liu ◽  
Penglang Shui ◽  
Shunjun Wu
Keyword(s):  
Adaptive Detection ◽  
Range Spread ◽  
Wideband Radar ◽  
Range Walking

Zonal Imaging Algorithm of Range-Speed Target Based on the LMSF Radar Signal

2012 ◽  
Vol 263-266 ◽  
pp. 462-467
Author(s):  
Yu Qiong Li ◽  
Song Hua He ◽  
Guang Zhu Li ◽  
Jianping Ou ◽  
Jun Zhang
Keyword(s):  
Theoretical Model ◽  
Coupling Effect ◽  
Recognition Algorithm ◽  
Automatic Recognition ◽  
Radar Signal ◽  
Imaging Algorithm ◽  
Range Profile ◽  
Range Spread ◽  
Stepped Frequency ◽  
Wideband Radar

The automatic recognition of range-spread target is based on its range profile. When obtaining its range profile by using synthetic wideband radar signal, the different-range scatters would be overlapped because of the range-doppler coupling effect. The overlapping effect affects the ability of the automatic recognition algorithm. According to this, based on the Linearly Modulated Stepped Frequency (LMSF) radar signal, coherent processing of range profiles to obtain zonal image of range-spread target is proposed in this paper, which avoids the overlapping effect. The theoretical model of the zonal image of range-spread target is presented, the signal processing flow is derived, and the simulation result of zonal image is also given in this paper.

Performance Loss Analysis for Neglecting the Weibull Clutter Texture in Wideband Radar Spread Targets Detection

2012 ◽  
Vol 229-231 ◽  
pp. 1410-1413
Author(s):  
Xian Dong Meng ◽  
Gan Zhong Feng ◽  
Liang Wang ◽  
Zhi Ming He
Keyword(s):  
Covariance Matrix ◽  
Secondary Data ◽  
Adaptive Detection ◽  
Loss Analysis ◽  
Performance Loss ◽  
Simulation Strategy ◽  
Spatially Distributed ◽  
Wideband Radar ◽  
Unknown Covariance ◽  
Shaping Parameter

The problem of adaptive detection of spatially distributed targets or targets embedded in Weibull clutter with unknown covariance matrix is studied. At first, the texture and the speckle of Weibull clutter is researched, the texture expression is proposed base on the property of spherically invariant random vector (SIRV) , then the optimal detection statistics regards the texture of clutter as a certain function is derived, another detector regards the texture as an unknown deterministic parameter as a contrast. Next, the numerical results are presented by means of Monte Carlo simulation strategy. Assume that cells of signal components are available. Those secondary data are supposed to possess either the same covariance matrix or the same structure of the covariance matrix of the cells under test. In this context, the simulation results highlight that the performance loss of the two tests in different shaping parameter, then the influence of the Weibull clutter texture on detection performance of test is given.

AR-model-based adaptive detection of range-spread targets in compound Gaussian clutter

2011 ◽  
Vol 91 (4) ◽  
pp. 750-758 ◽  
Author(s):  
Xiaofei Shuai ◽  
Lingjiang Kong ◽  
Jianyu Yang
Keyword(s):  
Ar Model ◽  
Adaptive Detection ◽  
Model Based ◽  
Range Spread

Parametric Rao test for multichannel adaptive detection of range-spread target in partially homogeneous environments

2015 ◽  
Vol 108 ◽  
pp. 421-429 ◽  
Author(s):  
Bo Shi ◽  
Chengpeng Hao ◽  
Chaohuan Hou ◽  
Xiaochuan Ma ◽  
Chengyan Peng
Keyword(s):  
Adaptive Detection ◽  
Range Spread ◽  
Rao Test

Invariant Adaptive Detection of Range-Spread Targets Under Structured Noise Covariance

2017 ◽  
Vol 65 (12) ◽  
pp. 3048-3061 ◽  
Author(s):  
Mengjiao Tang ◽  
Yao Rong ◽  
Jie Zhou ◽  
X. Rong Li
Keyword(s):  
Adaptive Detection ◽  
Noise Covariance ◽  
Range Spread

Generalised parametric Rao test for multi-channel adaptive detection of range-spread targets

2012 ◽  
Vol 6 (5) ◽  
pp. 404 ◽  
Author(s):  
P. Wang ◽  
H. Li ◽  
T.R. Kavala ◽  
B. Himed
Keyword(s):  
Adaptive Detection ◽  
Range Spread ◽  
Rao Test

Model-based adaptive detection of range-spread targets

2004 ◽  
Vol 151 (1) ◽  
pp. 2 ◽  
Author(s):  
G. Alfano ◽  
A. De Maio ◽  
A. Farina
Keyword(s):  
Adaptive Detection ◽  
Model Based ◽  
Range Spread
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