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

CHEN Tao; LIU Lizhi; GUO Limin

doi:10.11999/JEIT170612

Volume 40 Issue 4

Apr. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(4): 867-874

CHEN Tao, LIU Lizhi, GUO Limin. Intra-pulse Modulation Recognition of Radar Signals Based on MWC Compressed Sampling Wideband Receiver[J]. Journal of Electronics & Information Technology, 2018, 40(4): 867-874. doi: 10.11999/JEIT170612

Citation:

CHEN Tao, LIU Lizhi, GUO Limin. Intra-pulse Modulation Recognition of Radar Signals Based on MWC Compressed Sampling Wideband Receiver[J]. Journal of Electronics & Information Technology, 2018, 40(4): 867-874. doi: 10.11999/JEIT170612

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

doi: 10.11999/JEIT170612

Funds:

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

Received Date: 2017-06-27
Rev Recd Date: 2017-11-21
Publish Date: 2018-04-19

Abstract

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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References(28)

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