Detection of range-spread targets based on order statistics

被引：7
作者：
Chen, Xinliang [1 ,2 ]
Hou, Kaiyue [2 ]
Chang, Shaoqiang [2 ]
Liu, Quanhua [2 ]
Ren, Wei [2 ]
机构：
[1] Yangtze Delta Reg Acad Beijing Inst Technol, Jiaxing 314019, Peoples R China
[2] Beijing Inst Technol, Minist Educ, Key Lab Elect & Informat Technol Satellite Nav, Beijing 100081, Peoples R China
来源：
DIGITAL SIGNAL PROCESSING | 2023年 / 133卷
基金：
国家重点研发计划;
关键词：
High resolution radar; Order statistic; Range-spread target detection; Energy accumulation detector; ADAPTIVE DETECTION; DISTRIBUTED TARGET; RADAR DETECTION; GLRT; RAO;
D O I：
10.1016/j.dsp.2022.103803
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
High resolution radars (HRRs) transmit a wideband signal to achieve a high range resolution. This paper presents a range-spread target detector based on order statistic in Gaussian white noise. Considering that the target spreads in multiple range cells in high resolution radar systems, we sort the range cells by energy in the detection window, and then the energy is sequentially accumulated and detected until a decision is made. An algorithm for computing the test thresholds of the detector is proposed. In addition, the detector is compared with other detectors under a given probability of false alarm by Monte Carlo simulations, which proves the proposed detector is more powerful with full.(c) 2022 Elsevier Inc. All rights reserved.
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页数：12
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