| 摘要: |
| 针对宽带雷达检测门限值设置难度大、系统复杂度高、实时性差等问题，提出了一种UWB-OSCA（Ultra瞁ide Band-mallest of Ordered Statistics and Cell Average）检测算法。该算法主要包括多相滤波、SOSCA恒虚警检测和二元积累。其中，多相滤波将宽带信号划分为多个子信道，降低通道速率；SOSCA恒虚警检测分别对各子信道进行自适应门限调整，提高各子信道检测概率；二元积累对各子信道的检测结果进行时域联合，优化宽带时域连续检测性能。实验结果表明，在信噪比等于7.33 dB，虚警概率为10-5时，SOSCA恒虚警检测算法与传统恒虚警算法相比，检测概率可提升14%；当多相滤波输入信噪比为-5 dB时，UWB-OSCA算法的宽带线性调频信号脉冲宽度测量偏差优于6.5 ns。该算法具有大监视带宽、大动态范围和高检测概率，可广泛应用于侦察接收机的雷达侦测工作。 |
| 关键词: 宽带雷达 信号检测 恒虚警算法 多相滤波 二元积累 |
| DOI：10.20079/j.issn.1001-893x.230328004 |
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| 基金项目:中国科学院“一三五”重点培育基金（Y52115A985） |
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| A UWB-OSCA Algorithm for Radar Detection |
| WEI Benjie,DING Yuanbo |
| (1.National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China;2.University of Chinese Academy of Sciences,Beijing 100049,China) |
| Abstract: |
| To solve the problems such as difficulty in setting the detection threshold of wideband radar, high complexity and poor real-time performance，an Ultra-Wide Band-Smallest of Ordered Statistics and Cell Average ( UWB-SOSCA) detection algorithm is proposed.The algorithm mainly includes polyphase filtering,SOSCA constant false alarm rate (CFAR) detection,and binary accumulation.Among them,polyphase filtering divides the broadband signal into multiple subchannels to reduce the channel rate;SOSCA CFAR detection adjusts the adaptive threshold for each subchannel separately to improve the detection probability of each subchannel;binary accumulation combines the detection results of each subchannel in the time domain to optimize the broadband continuous detection performance.The experimental results show that the detection probability of the SOSCA CFAR detection algorithm can be improved by 14 |
| Key words: broadband radar signal detection constant false alarm algorithm polyphase filtering binary accumulation |
