基于MWC壓縮采樣寬帶接收機(jī)的雷達(dá)信號(hào)脈內(nèi)調(diào)制識(shí)別

陳濤; 柳立志; 郭立民

doi:10.11999/JEIT170612

基于MWC壓縮采樣寬帶接收機(jī)的雷達(dá)信號(hào)脈內(nèi)調(diào)制識(shí)別

doi: 10.11999/JEIT170612 cstr: 32379.14.JEIT170612

基金項(xiàng)目:

國家自然科學(xué)基金(61571146)，中央高校基本科研業(yè)務(wù)費(fèi)專項(xiàng)資金(HEUCFP201769)

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出版歷程
- 收稿日期: 2017-06-27
- 修回日期: 2017-11-21
- 刊出日期: 2018-04-19

Intra-pulse Modulation Recognition of Radar Signals Based on MWC Compressed Sampling Wideband Receiver

Funds:

The National Natural Science Foundation of China (61571146), The Fundamental Research Funds for the Central Universities (HEUCFP201769)

摘要

摘要: 針對傳統(tǒng)寬帶數(shù)字接收機(jī)在接收寬帶雷達(dá)信號(hào)時(shí)產(chǎn)生的跨信道問題，以及低截獲概率(LPI)雷達(dá)信號(hào)脈內(nèi)調(diào)制盲識(shí)別問題，該文提出一種基于調(diào)制寬帶轉(zhuǎn)換器(MWC)離散壓縮采樣的新型寬帶數(shù)字接收機(jī)結(jié)構(gòu)對寬帶雷達(dá)信號(hào)進(jìn)行截獲和識(shí)別。該結(jié)構(gòu)采用偽隨機(jī)序列將接收信號(hào)混頻至基帶和其他子帶內(nèi)，經(jīng)低通濾波、降速采樣獲得基帶壓縮采樣信號(hào)，解決了跨信道信號(hào)問題；又提出一種基于短時(shí)傅里葉變換(STFT)和頻譜能量聚焦率檢驗(yàn)的識(shí)別算法。首先檢驗(yàn)STFT頻譜帶寬并進(jìn)行調(diào)相和調(diào)頻信號(hào)粗識(shí)別，然后檢驗(yàn)壓縮采樣信號(hào)頻譜能量聚焦率并進(jìn)行具體的信號(hào)脈內(nèi)調(diào)制識(shí)別。仿真結(jié)果證明了該新型接收機(jī)結(jié)構(gòu)和該識(shí)別算法在低信噪比下的有效性。
- 信號(hào)處理 /
- 寬帶數(shù)字接收機(jī) /
- 調(diào)制寬帶轉(zhuǎn)換器 /
- 壓縮采樣 /
- 脈內(nèi)調(diào)制識(shí)別
Abstract: To solve the cross-channel signal problem when receiving wideband radar signals with the conventional wideband digital receiver, and the blind intra-pulse modulation recognition problem for Low Probability of Intercept (LPI) radar signals, a new wideband digital receiver based on the Modulated Wideband Converter (MWC) discrete compressed sampling structure is proposed to intercept and recognize the wideband radar signals. The proposed structure uses the pseudo-random sequences to mix the received signals to baseband and other sub-bands, the mixed signals are then low-pass filtered and down-sampled to get the baseband compressed sampling data, which could solve the cross-channel signal problem flexibly. Furthermore, a recognition method based on the Short-Time Fourier Transform (STFT) and the spectrum energy focusing rate test is proposed. Firstly, the STFT spectrum bandwidth is tested to distinguish phase modulation signals and frequency modulation signals recognition roughly. Then, the spectrum energy focusing rate of the compressed sampling data is tested to recognize the intra-pulse modulation type specifically. Finally, simulation results validate the efficiencies of the proposed receiver and the proposed recognition method in low Signal-to-Noise Rations (SNR).
- Signal processing /
- Wideband digital receiver /
- Modulated Wideband Converter (MWC) /
- Compressed sampling /
- Intra-pulse modulation recognition

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