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Mismatched filter bank design for radio frequency interference suppression in multiple-input multiple-output over-the-horizon radar

机译:无匹配的滤波器组设计,用于射频干扰抑制在多输入多输出过度范围内雷达中

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Radio frequency interference (RFI) is a major problem in Multiple-Input Multiple-Output Over-the-Horizon Radar (MIMO-OTHR). Selecting working frequencies and clean bandwidth in the complex electromagnetic environment is challenging using traditional frequency selection methods. We note that MIMO-OTHR usually transmits Time-Staggered Linear Frequency Modulated Continuous Wave (TS-LFMCW) waveforms, so the target echo that occurs before matched filtering is a broadband (about tens of KHz) signal, while the RFI after frequency selection is usually a narrowband (about a few KHz) signal. To suppress the narrowband RFI and complete the waveform diversity process, the mismatched filter bank is designed to replace the original matched filter bank without changing the TS-LFMCW waveforms. First, we establish the mismatched filtering optimization problem for MIMO-OTHR. We employ the output signal-to-interference-plus-noise ratio maximization criterion of adaptive RFI suppression and two constraints for adjustable target signal attenuation and TS-LFMCW waveforms diversity performance. Then, two analytic solutions to this constrained optimization problem are derived to guarantee the computational efficiency of the mismatched filtering. The proposed mismatched filtering methods can detect the target successfully in the presence of narrowband RFI. The RFI suppression performance, the waveform diversity performance and computational efficiency of the two mismatched filter banks are analysed using numerical results.
机译:射频干扰(RFI)是多输入多输出过度地平线雷达(MIMO-OTHR)中的主要问题。在复杂的电磁环境中选择工作频率和清洁带宽是使用传统频率选择方法具有挑战性的。我们注意到MIMO-OTHR通常传输时间交错的线性频率调制的连续波(TS-LFMCW)波形,因此在匹配过滤之前发生的目标回声是宽带(大约几十kHz)信号,而频率选择之后的RFI是通常是窄带(大约几kHz)信号。为了抑制窄带RFI并完成波形分集过程,不匹配的滤波器组旨在更换原始匹配的滤波器组,而无需更改TS-LFMCW波形。首先,我们为MIMO-OTHR建立了不匹配的过滤优化问题。我们采用了自适应RFI抑制的输出信号到干扰 - 热噪声比最大化标准和用于可调目标信号衰减的两个约束和TS-LFMCW波形分集性能。然后,导出了两个对该约束优化问题的分析解决方案以保证错配滤波的计算效率。所提出的错配滤波方法可以在窄带RFI的存在下成功地检测目标。使用数值结果分析了RFI抑制性能,两个错配滤波器组的波形分集性能和计算效率。

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