Performance Prediction of Hybrid Integration Detector for Radar Moderately Fluctuating Rayleigh Targets

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Hongying Zheng;Qilei Zhang;Yongsheng Zhang
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引用次数: 0

Abstract

In this letter, we address the performance prediction of the hybrid integration detector for radar moderately fluctuating Rayleigh targets in thermal noise. Initially, the moderately fluctuating Rayleigh target model is defined as a general form of well-known Swerling I and Swerling II models using an exponential correlation function. Based on this, an exact closed-form expression of detection probability for hybrid integration detector is derived. In extreme conditions (correlation coefficient is 1 or 0), the derived expression can degrade into the classical formulas, confirming it's validity. Finally, numerical examples are presented to verify the effectiveness of the derived theoretical model and to analyze the issue of optimal hybrid integration detector.
雷达中波动瑞利目标混合积分探测器性能预测
在这封信中,我们讨论了混合积分探测器的性能预测雷达适度波动瑞利目标在热噪声。首先,适度波动的Rayleigh目标模型被定义为众所周知的Swerling I和Swerling II模型的一般形式,使用指数相关函数。在此基础上,导出了混合积分检测器检测概率的精确封闭表达式。在极端条件下(相关系数为1或0),推导出的表达式可以退化为经典公式,证实了其有效性。最后通过数值算例验证了理论模型的有效性,并分析了最优混合积分检测器问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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