scholarly journals Target Detection Performance Analysis of FDA-MIMO Radar

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 164276-164285 ◽  
Author(s):  
Yu Zhu ◽  
Lei Liu ◽  
Zheng Lu ◽  
Shunsheng Zhang
Keyword(s):  
Performance Analysis ◽  
Target Detection ◽  
Mimo Radar ◽  
Detection Performance

scholarly journals Subspace Compressive GLRT Detector for MIMO Radar in the Presence of Clutter

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Siva Karteek Bolisetti ◽  
Mohammad Patwary ◽  
Khawza Ahmed ◽  
Abdel-Hamid Soliman ◽  
Mohamed Abdel-Maguid
Keyword(s):  
Mathematical Model ◽  
Computational Complexity ◽  
Performance Analysis ◽  
False Alarm ◽  
Target Detection ◽  
Mimo Radar ◽  
Detection Performance ◽  
Radar Target ◽  
Significant Deterioration ◽  
Low Snr

The problem of optimising the target detection performance of MIMO radar in the presence of clutter is considered. The increased false alarm rate which is a consequence of the presence of clutter returns is known to seriously degrade the target detection performance of the radar target detector, especially under low SNR conditions. In this paper, a mathematical model is proposed to optimise the target detection performance of a MIMO radar detector in the presence of clutter. The number of samples that are required to be processed by a radar target detector regulates the amount of processing burden while achieving a given detection reliability. While Subspace Compressive GLRT (SSC-GLRT) detector is known to give optimised radar target detection performance with reduced computational complexity, it however suffers a significant deterioration in target detection performance in the presence of clutter. In this paper we provide evidence that the proposed mathematical model for SSC-GLRT detector outperforms the existing detectors in the presence of clutter. The performance analysis of the existing detectors and the proposed SSC-GLRT detector for MIMO radar in the presence of clutter are provided in this paper.

scholarly journals Airborne FDA-MIMO Radar Modeling and Detection Performance Analysis

2021 ◽  
Vol 30 (2) ◽  
pp. 396-406
Author(s):  
Y. S. Yan ◽  
W.-Q. Wang ◽  
A. Basit ◽  
J. Y. Cai
Keyword(s):  
Performance Analysis ◽  
Mimo Radar ◽  
Detection Performance

scholarly journals Detection performance analysis of hybrid MIMO radar

2019 ◽  
Vol 2019 (20) ◽  
pp. 6582-6586
Author(s):  
Qilei Zhang ◽  
Manqing Wu ◽  
Wenxian Yu
Keyword(s):  
Performance Analysis ◽  
Mimo Radar ◽  
Detection Performance

Target Detection Performance of Collocated MIMO Radar With One-Bit ADCs

2019 ◽  
Vol 26 (12) ◽  
pp. 1832-1836 ◽  
Author(s):  
Ziyang Cheng ◽  
Zishu He ◽  
Bin Liao
Keyword(s):  
Target Detection ◽  
Mimo Radar ◽  
Detection Performance
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