聯(lián)合時頻分布和壓縮感知對抗頻譜彌散干擾
doi: 10.11999/JEIT160919
基金項目:
國家自然科學基金(61271297, 61272281, 61301284),博士學科點科研專項基金(20110203110001)
Jointing Time-frequency Distribution and Compressed Sensing for Countering Smeared Spectrum Jamming
Funds:
The National Natural Science Foundation of China (61271297, 61272281, 61301284), The Specialized Research Fund for the Doctoral Program of Higher Education (20110203 110001)
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摘要: 頻譜彌散(SMSP)干擾是一種專門對抗線性調(diào)頻脈沖雷達的有源欺騙干擾。針對SMSP干擾的抑制問題,該文根據(jù)該干擾的時頻分布特性,提出一種聯(lián)合時頻分布和壓縮感知的干擾抑制算法。該方法通過在時頻域丟棄SMSP干擾信號,保留屬于目標信號的時頻點,并根據(jù)保留的時頻點與雷達回波頻譜間的線性關(guān)系,建立壓縮感知最小問題求解模型并利用正交匹配追蹤方法重構(gòu)目標信號,實現(xiàn)對SMSP干擾的抑制。Monte Carlo仿真結(jié)果驗證了該方法的有效性。Abstract: The SMeared SPectrum (SMSP) jamming is a special active deception jamming for countering a Linear Frequency Modulated (LFM) pulse compression radar system. For suppressing the SMSP jamming, a novel anti-jamming approach is proposed based on jointing Time-Frequency (TF) distribution and Compressed Sensing (CS). First the SMSP jamming is isolated in the TF domain, and then the TF points belonging to target signal are reserved. According to the linear relationship between the reserved TF points and the frequency domain of radar echo, a CS minimization model is established and the Orthogonal Matching Pursuit (OMP) algorithm is utilized to recover the target signal, which means the SMSP jamming is mitigated simultaneously. The validity of the proposed method is evaluated using experimental data via Monte Carlo simulation.
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