scholarly journals Target Detection Algorithm for Hypersonic Vehicle Based on Wideband Radar Echo Model

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 7678-7690 ◽  
Author(s):  
Zhiyong Niu ◽  
Tao Su ◽  
Jibin Zheng
Keyword(s):  
Target Detection ◽  
Detection Algorithm ◽  
Hypersonic Vehicle ◽  
Radar Echo ◽  
Wideband Radar

Small Floating Target Detection Algorithm Based on Time-Frequency Similarity

2014 ◽  
Vol 1030-1032 ◽  
pp. 1805-1809
Author(s):  
Jin Jiang ◽  
Ming Li ◽  
Yan Shen ◽  
Chong Yi Li
Keyword(s):  
Target Detection ◽  
Average Power ◽  
Detection Algorithm ◽  
Observation Time ◽  
Similarity Analysis ◽  
Mean Square ◽  
Time Frequency ◽  
Radar Echo ◽  
Time Average ◽  
Short Time

The features of radar echo of small floating target within sea clutter exists not only in target bins, but also exist in extend range bins. These lead to certain characteristic are similar between targets and extend bins. Short-time average power and mean-square Doppler bandwidth are extracted as two of these features and their similarities are been proved existing between target bin and extend bins by IPIX data. Although clutter bins may also have this similarity, it could be distinguished when observation time is enhanced. According to this characteristic, a detection algorithm is proposed based on time-frequency similarity analysis, the method works well when the average signal clutter ratio is about 5dB and the observation time is 300ms.

scholarly journals Detection of Unresolved Targets for Wideband Monopulse Radar

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1084
Author(s):  
Tianyi Tsai ◽  
Zhiqiang Liao ◽  
Zhiquan Ding ◽  
Yuan Zhao ◽  
Bin Tang
Keyword(s):  
Target Detection ◽  
Detection Probability ◽  
High Performance ◽  
A Priori ◽  
Computation Time ◽  
Gaussian Mixture ◽  
Detection Algorithm ◽  
Ratio Test ◽  
Range Profile ◽  
Wideband Radar

Detecting unresolved targets is very important for radars in their target tracking phase. For wideband radars, the unresolved target detection algorithm should be fast and adaptive to different bandwidths. To meet the requirements, a detection algorithm for wideband monopulse radars is proposed, which can detect unresolved targets for each range profile sampling points. The algorithm introduces the Gaussian mixture model and uses a priori information to achieve high performance while keeping a low computational load, adaptive to different bandwidths. A comparison between the proposed algorithm and the latest unresolved target detection algorithm Joint Multiple Bin Processing Generalized Likelihood Ratio Test (JMBP GLRT) is carried out by simulation. On Rayleigh distributed echoes, the detection probability of the proposed algorithm is at most 0.5456 higher than the JMBP GLRT for different signal-to-noise ratios (SNRs), while the computation time of the proposed algorithm is no more than two 10,000ths of the JMBP GLRT computation time. On bimodal distributed echoes, the detection probability of the proposed algorithm is at most 0.7933 higher than the JMBP GLRT for different angular separations of two unresolved targets, while the computation time of the proposed algorithm is no more than one 10,000th of the JMBP GLRT computation time. To evaluate the performance of the proposed algorithm in a real wideband radar, an experiment on field test measured data was carried out, in which the proposed algorithm was compared with Blair GLRT. The results show that the proposed algorithm produces a higher detection probability and lower false alarm rate, and completes detections on a range profile within 0.22 ms.

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