Radar target detection method based on cross‐correlation singularity power spectrum

2019 ◽  
Vol 13 (5) ◽  
pp. 730-739 ◽  
Author(s):  
Gang Xiong ◽  
Caiping Xi ◽  
Jin He ◽  
Wenxian Yu
Keyword(s):  
Power Spectrum ◽  
Target Detection ◽  
Cross Correlation ◽  
Detection Method ◽  
Radar Target

Cross Correlation Singularity Power Spectrum Theory and Application in Radar Target Detection Within Sea Clutters

2019 ◽  
Vol 57 (6) ◽  
pp. 3753-3766 ◽  
Author(s):  
Gang Xiong ◽  
Caiping Xi ◽  
Dongying Li ◽  
Wenxian Yu
Keyword(s):  
Power Spectrum ◽  
Target Detection ◽  
Cross Correlation ◽  
Radar Target

Radar target detection method based on improved YOLOv3

2021 ◽  
Author(s):  
L. Zhongwei ◽  
G. Hongwei ◽  
L. Yingchun ◽  
X. Rongrong ◽  
S. Shuyan ◽  
...  
Keyword(s):  
Target Detection ◽  
Detection Method ◽  
Radar Target

The application of the multifractal cross-correlation analysis methods in radar target detection within sea clutter

2017 ◽  
Vol 468 ◽  
pp. 839-854 ◽  
Author(s):  
Caiping Xi ◽  
Shuning Zhang ◽  
Gang Xiong ◽  
Huichang Zhao ◽  
Yonghong Yang
Keyword(s):  
Correlation Analysis ◽  
Target Detection ◽  
Cross Correlation ◽  
Radar Target ◽  
Sea Clutter ◽  
Analysis Methods ◽  
Cross Correlation Analysis

Novel radar target detection [same as "Radar target novel characteristic detection method", vol. 21, n.1, 06]

2008 ◽  
Vol 23 (7) ◽  
pp. 28-31
Author(s):  
Pengfei Du ◽  
Yongliang Wang ◽  
Ziyue Tang
Keyword(s):  
Target Detection ◽  
Detection Method ◽  
Radar Target

scholarly journals PCA-Based Matrix CFAR Detection for Radar Target

Entropy ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. 756
Author(s):  
Zheng Yang ◽  
Yongqiang Cheng ◽  
Hao Wu
Keyword(s):  
False Alarm ◽  
Covariance Matrix ◽  
Target Detection ◽  
Detection Method ◽  
Detection Performance ◽  
Radar Target ◽  
Matrix Space ◽  
Cfar Detection ◽  
Dimensional Matrix ◽  
Efficient Detection

In radar target detection, constant false alarm rate (CFAR), which stands for the adaptive threshold adjustment with variation of clutter to maintain the constant probability of false alarm during the detection, plays an important role. Matrix CFAR detection performed on the manifold of Hermitian positive-definite (HPD) covariance matrices is an efficient detection method that is based on information geometry. However, the HPD covariance matrix, which is constructed by a small bunch of pulses, describes the correlations among received data and suffers from severe information redundancy that limits the improvement of detection performance. This paper proposes a Principal Component Analysis (PCA) based matrix CFAR detection method for dealing with the point target detection problems in clutter. The proposed method can not only reduce dimensionality of HPD covariance matrix, but also reduce the redundant information and enhance the distinguishability between target and clutter. We first apply PCA to the cell under test, and construct a transformation matrix to map higher-dimensional matrix space to a lower-dimensional matrix space. Subsequently, the corresponding detection statistics and detection decision on matrix manifold are derived. Meanwhile, the corresponding signal-to-clutter ratio (SCR) is improved. Finally, the simulation experiment and real sea clutter data experiment show that the proposed method can achieve a better detection performance.

A novel GNSS-Based Bistatic Radar Target Detection Method Under Low SNR

2021 ◽  
Author(s):  
Zibo Zhou ◽  
Binbin Wang ◽  
Saiqiang Xia ◽  
Wanyong Cai ◽  
Jianwei Liu ◽  
...  
Keyword(s):  
Target Detection ◽  
Detection Method ◽  
Bistatic Radar ◽  
Radar Target ◽  
Low Snr

A Study on Radar Target Detection Based on Broad Learning System

2020 ◽  
Author(s):  
Bo Li ◽  
Jun Tang ◽  
Siyuan Ouyang ◽  
Li Wang
Keyword(s):  
Target Detection ◽  
Learning System ◽  
Radar Target
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