Passive radar channel estimation based on PN sequence of DTMB signal

Chen, Geng; Tian, Bangsen; Gong, Jian; Cheng, Feng

doi:10.1109/sam48682.2020.9104324

Cited by 3 publications

(1 citation statement)

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“…Further, PBRs have superior low-altitude coverage capability. PBR exploits available non-cooperative transmitters as its illuminators of opportunity, such as frequency modulation (FM) radio [ 2 ], digital audio broadcasting (DAB) [ 3 , 4 ], digital video broadcasting (DVB) [ 5 , 6 ], global navigation satellite system (GNSS) [ 7 , 8 ], digital terrestrial multimedia broadcasting (DTMB) [ 9 , 10 ], etc. Among these illuminators of opportunity, DTMB has attracted much attention for its high range resolution and wide coverage area.…”

Section: Introductionmentioning

confidence: 99%

A Joint Low-Rank and Sparse Method for Reference Signal Purification in DTMB-Based Passive Bistatic Radar

Zuo

Zhao

Cheng

2021

Sensors

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In a digital terrestrial multimedia broadcasting (DTMB)-based passive bistatic radar (PBR) system, the received reference signal often suffers from serious multipath effect, which decreases the detection ability of low-observable targets in urban environments. In order to improve the target detection performance, a novel reference signal purification method based on the low-rank and sparse feature is proposed in this paper. Specifically, this method firstly performs synchronization operations to the received reference signal and thus obtains the corresponding pseudo-noise (PN) sequences. Then, by innovatively exploiting the inherent low-rank structure of DTMB signals, the noise component in PN sequences is reduced. After that, a temporal correlation (TC)-based adaptive orthogonal matching pursuit (OMP) method, i.e., TC-AOMP, is performed to acquire the reliable channel estimation, whereby the previous noise-reduced PN sequences and a new halting criterion are utilized to improve channel estimation accuracy. Finally, the purification reference signal is obtained via equalization operation. The advantage of the proposed method is that it can obtain superior channel estimation performance and is more efficient compared to existing methods. Numerical and experimental results collected from the DTMB-based PBR system are presented to demonstrate the effectiveness of the proposed method.

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