Journal of Terahertz Science and Electronic Information Technology , Volume. 18, Issue 5, 797(2020)
Bandwidth estimation method of LFM signal based on DCS under unsampled conditions
Aiming at the problem that traditional methods cannot estimate the bandwidth of under-sampled Linear Frequency Modulation(LFM) signals under low Signal Noise Ratio(SNR), a bandwidth estimation method based on Distributed Compressive Sensing(DCS) is proposed, which uses the joint sparse characteristics of multiple LFM signals with the same modulation type from the same source to estimate the bandwidth of LFM signal. Firstly, the under-sampled LFM signal model is constructed. Secondly, the LFM bandwidth is reconstructed by DCS algorithm. Then the parameter estimation ability of the proposed method under low SNR conditions is analyzed. Finally, the feasibility and validity of the proposed method are verified by simulation.
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CHEN Liangdong1, LI Mengyao1, LIU Xinzhuo2. Bandwidth estimation method of LFM signal based on DCS under unsampled conditions[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(5): 797
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Received: Sep. 26, 2018
Accepted: --
Published Online: Jan. 22, 2021
The Author Email: Liangdong1 CHEN (13476810127@163.com)