scholarly journals Performance Analysis of a GLRT in Late-Time Radar Target Detection

1999 ◽  
Vol 24 ◽  
pp. 77-96 ◽  
Author(s):  
J. E. Mooney ◽  
Z. Ding ◽  
L. S. Riggs
Keyword(s):  
Performance Analysis ◽  
Target Detection ◽  
Radar Target ◽  
Late Time

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 An Overview of Parametric Modeling and Methods for Radar Target Detection with Limited Data

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Fangzhou Wang ◽  
Pu Wang ◽  
Xin Zhang ◽  
Hongbin Li ◽  
Braham Himed
Keyword(s):  
Target Detection ◽  
Parametric Modeling ◽  
Radar Target ◽  
Limited Data

scholarly journals Information Geometry for Radar Target Detection with Total Jensen–Bregman Divergence

Entropy ◽  
2018 ◽  
Vol 20 (4) ◽  
pp. 256 ◽  
Author(s):  
Xiaoqiang Hua ◽  
Haiyan Fan ◽  
Yongqiang Cheng ◽  
Hongqiang Wang ◽  
Yuliang Qin
Keyword(s):  
Target Detection ◽  
Information Geometry ◽  
Bregman Divergence ◽  
Radar Target

Radar target identification using a combined early-time/late-time E-pulse technique

1998 ◽  
Vol 46 (9) ◽  
pp. 1272-1278 ◽  
Author(s):  
Q. Li ◽  
P. Ilavarasan ◽  
J.E. Ross ◽  
E.J. Rothwell ◽  
Kun-Mu Chen ◽  
...  
Keyword(s):  
Target Identification ◽  
Early Time ◽  
Radar Target ◽  
Late Time ◽  
Pulse Technique

Off-Grid Radar Target Detection with the Normalized Matched Filter: A Monopulse-Based Detection Scheme

2021 ◽  
Author(s):  
P. Develter ◽  
J. Bosse ◽  
O. Rabaste ◽  
P. Forster ◽  
J.-P. Ovarlez
Keyword(s):  
Target Detection ◽  
Matched Filter ◽  
Radar Target ◽  
Detection Scheme
Sign in / Sign up

Export Citation Format

Share Document