Transactions of Nanjing University of Aeronautics & Astronautics
Wideband Signal Detection Based on MWC Discrete Compressed Sampling Structure
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Abstract:
In order to solve the cross-channel signal problem caused by the uniform channelized wideband digital receiver when processing wideband signal and the problem that the sensitivity of the system greatly decreases when the bandwidth of wideband digital receiver increases, which both decrease the wideband radar signal detection performance, a new wideband digital receiver based on the modulated wideband converter (MWC) discrete compressed sampling structure and an energy detection method based on the new receiver are proposed. Firstly, the proposed receiver utilizes periodic pseudo-random sequences to mix wideband signals with baseband and other sub-bands. Then the mixed signals are low-pass filtered and downsampled to obtain the baseband compressed sampling data, which can increase the sensitivity of the system. Meanwhile, the cross-channel signal will all appear in any sub-bands, so the cross-channel signal problem can be solved easily by processing the baseband compressed sampling data. Secondly, we establish the signal detection model and formulate the criterion of the energy detection method. And we directly utilize the baseband compressed sampling data to carry out signal detection without signal reconstruction, which decreases the complexity of the algorithm and reduces the computational burden. Finally, simulation experiments demonstrate the effectiveness of the proposed receiver and show that the proposed signal detection method is effective in low signal-to-noise ratio (SNR) compared with the conventional energy detection and the probability of detection increases significantly when SNR increases.
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