Narrowband Interference Suppression System and Method for Compressed Sensing Impulse UWB Receiver

Abstract

The invention discloses a narrow-band interference suppression system and method adopting the compressed sensing technology and used for a pulse ultra wideband receiver. The method includes the six steps of out-band noise filtration, pilot frequency part narrow-band interference estimation, pilot frequency part narrow-band interference suppression, signal correlation template reconstruction, load part narrow-band interference estimation and suppression and related demodulation. The method is characterized in that narrow-band interference of pilot symbol waveforms is estimated one by one by utilizing the compressed sensing technology, a corresponding narrow-band interference observation sequence is subtracted from a pilot frequency observation sequence through a subtractor, and the estimation accuracy of a signal correlation template is improved; narrow-band interference of load symbol waveforms is estimated one by one by utilizing the compressed sensing technology, the narrow-band interference is eliminated from load signal waveforms through the subtractor, and the signal to interference ratio of load signals is improved. According to the system and method, the narrow-band interference estimation and suppression are achieved by utilizing the compressed sensing technology, the sampling rate is greatly reduced, good narrow-band interference suppression effects are achieved, and the performance of the pulse ultra wideband receiver is improved.

Description

technical field [0001] The invention relates to a narrow-band interference suppression system and method for a compressed-sensing pulse ultra-wideband receiver, belonging to the field of broadband wireless communication. Background technique [0002] The Nyquist sampling theorem points out that to recover the original signal from the discrete signal without distortion, the sampling rate is at least twice the signal bandwidth. Compressed Sensing (CS: Compressed Sensing) is an emerging signal processing framework. Unlike the traditional Nyquist sampling theorem, compressive sensing theory simultaneously compresses the signal at a sampling rate much lower than the Nyquist sampling theorem. The theory points out that for any compressible or sparse signal, the signal is projected onto a low-dimensional space through an observation matrix, and then the original signal is reconstructed or approximated by a series of reconstruction algorithms. The corresponding reconstruction algo...

AI Technical Summary

Problems solved by technology

This undoubtedly increases the difficulty and cost of system hardware implementation

On the other hand, in recent years, there is only one article at home and abroad that studies the application of compressive sensing theory to the estimation of narrowband interference in pulsed UWB systems (Xu Zhan, Zhao Yifei, Zhou Chunhui, Wang Jing, An Jianping

"Narrowband Interference Estimation Algorithm Based on Compressive Sensing for Pulse Ultra-Wideband System", Journal of Instrumentation, March 2011, Volume 32, Issue 3) appeared, the article focuses on the improvement of OMP algorithm for narrowband interference, just a brief introduction The estimation process of narrowband interference, but there is no systematic introduction to the entire process of narrowband interference estimation and suppression

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