JOURNAL ARTICLE

Singular Value Decomposition-Based Algorithm for Noise Suppression of TH-PAM UWB Signal in AWGN Channel

Abstract

A novel technique of noise suppression based on singular value decomposition (SVD) algorithm for a UWB system with Time hopping (TH) and pulse amplitude modulation (PAM) are considered is presented in this paper,. According to the different correlation about UWB signals and Gaussian noises respectively, SVD is used to approximate the noises which then are subtracted from the received signals. Aiming at shortcomings of existing singular value truncation criterion, this paper use a new method to decide the threshold for SVD filter (SVDF), based on the value of signal to noise ratio (SNR). Simulations have demonstrated that an efficient elimination of noise on UWB signal and an improvement on Bit error rate (BER) are achieved by comparing our algorithm with the EMD method.

Keywords:
Additive white Gaussian noise Singular value decomposition Algorithm Noise (video) Gaussian noise SIGNAL (programming language) Truncation (statistics) Channel (broadcasting) Computer science Bit error rate Signal-to-noise ratio (imaging) Filter (signal processing) Mathematics Telecommunications Decoding methods Statistics Artificial intelligence

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Topics

Ultra-Wideband Communications Technology
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Millimeter-Wave Propagation and Modeling
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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