A recognition method for time-frequency overlapped waveform-agile radar signals based on matrix transformation and multi-scale center point detection. (April 2021)

• Record Type: Journal Article
• Authors: Liu, Zhipeng; Wang, Liandong; Feng, Yuntian; Qian, Zhisheng; Xu, Xiong; Chen, Xiang
• Is Part Of: Applied acoustics. Volume 175(2021)
• Publication Date: 2021-04
• Subjects: Waveform-agile radar signal -- Time–frequency overlap -- Signal recognition -- Matrix transformation -- Multi-scale center point detection; Acoustical engineering -- Periodicals; Periodicals; 620.2
• DOI: 10.1016/j.apacoust.2020.107855
• Languages: English
• ISSNs: 0003-682X

Abstract

Abstract: The new digital programmable radar systems allow the development of waveform agility technique that can be reconfigured to work with different kinds of waveforms without the introduction of any hardware modification, and it also extends to the combination of the carrier frequency agility, intra-pulse chirp, and pulse repetition frequency jittering. The challenging recognition problem of waveform-agile radar signals results in the difficult implementation of the prior electronic countermeasures and interferences. Meanwhile, the common problem under wideband reception is that multiple overlaps easily occur in the time and frequency domain among sources. In this paper, we take a fresh look at this problem, a method based on matrix transformation is proposed from the perspective of the source independence, to extract the waveform-agile radar sources in the underdetermined receiving scenario. Next, a multi-scale center point detection method is designed to locate and identify the internal waveforms to recognize the whole signal, and an additional box selecting algorithm is proposed to reduce the computing burden. Simulations demonstrate that the developed technique effectively solves the source attribution problem, and also outperforms the traditional methods in recognition performance under low signal-to-noise ratio (SNR).