Zirui Chen;Yifei Ji;Yongsheng Zhang;Zhen Dong;Weijian Liu;Junqiang Song
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引用次数: 0
摘要
瞬态干扰是天波超视距雷达(OTHR)中与雷达波形不相干的高频信号。它显著增加了多普勒域的噪声水平,从而降低了检测性能。本文提出了一种基于$\ well _{p}$范数和重叠块稀疏(LPOBS)的瞬态干扰抑制方法。首先,分析了回波信号的特性,即慢时域瞬态干扰分量、多普勒域目标和海杂波分量的稀疏性,以及多普勒域中优先位置已知的海杂波的块稀疏性。在此基础上,构造了目标函数,并通过乘法器框架的交替方向法提出了求解目标函数的高效算法。与传统的“干扰定位后数据恢复”的方法不同,LPOBS可以在不进行干扰定位的情况下分离瞬时干扰,恢复未受污染的数据。最后,半仿真数据和实际数据的实验证明,LPOBS在频谱重建精度、输出信噪比和计算效率方面具有显著的优势。
A Fast Transient Interference Suppression Method for OTHR Based on $\ell _{p}$ Norm and Overlapping Block Sparse
Transient interference is a high-frequency signal in skywave over-the-horizon radar (OTHR) that is incoherent with the radar waveform. It significantly increases the noise level in the Doppler domain, thereby degrading detection performance. In this article, a transient interference suppression method is proposed for OTHR based on $\ell _{p}$ norm and overlapping block sparse (LPOBS). First, the properties of the echo signal are analyzed, that is, the sparsity of the slow-time domain transient interference component, the Doppler domain target and sea clutter components, as well as the block sparsity of the sea clutter with a priori-known location in the Doppler domain. Subsequently, an objective function is constructed and a computationally efficient algorithm is proposed to solve the objective function through the alternating direction method of multipliers framework. Unlike the traditional method of “interference localization followed by data recovery,” the LPOBS can separate the transient interference and recover the uncontaminated data without the interference localization. Finally, the semisimulation data and actual data provide experimental evidence that the LPOBS exhibits remarkable superiority in terms of spectrum reconstruction accuracy, output signal-to-noise ratio, and computational efficiency.
期刊介绍:
IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.