基于時頻分析的偽碼與線性調(diào)頻復(fù)合體制偵察信號參數(shù)估計研究
Study on Reconnaissance Signal Parameter Evaluation of PN and LFM Based on Time-Frequency Analysis
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摘要: 研究了偽碼-線性調(diào)頻復(fù)合體制偵察信號識別的時頻分析方法，推導(dǎo)了PRBC-LFM偵察信號的Wigner時頻分布函數(shù)，通過對＝0 +Kt截面上WVD分析，從中提取了與載頻、調(diào)頻斜率和偽碼參數(shù)(子脈沖寬度、編碼位數(shù)、脈沖周期等)有關(guān)的特性，設(shè)計了參數(shù)估計方法，最后在高斯噪聲環(huán)境下對分析的結(jié)果進(jìn)行了仿真。結(jié)果表明該文提出的方法對PRBC-LFM信號的識別優(yōu)于譜相關(guān)方法，而且應(yīng)用不受調(diào)頻帶寬與偽碼譜寬關(guān)系的限制。
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關(guān)鍵詞:
- 參數(shù)估計;偽碼;線性調(diào)頻;時頻分析
Abstract: A time-frequency analysis method for reconnaissance signal recognition of PN and LFM is studied. Wigner time-frequency distribution function for PRBC-LFM reconnaissance signal is deduced. By WVD analysis，features related to carrier frequency, FM slope and PN parameters such as sub-pulse width, code-length and pulse cycle are extracted. Then a method for the parameter evaluation is presented. Finally, analysis results are simulated under Gaussian noise conditions. Simulation show the method is superior to spectral correlation method on PRBC-LFM signal recognition and not limited to relations between bandwidth of FM and spectral width of PN. -
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