A Semidefinite Relaxation Approach to Spreading Sequence Estimation for DS-SS Signals

Hua Guo ZHANG; Qing MOU; Hong Shu LIAO; Ping WEI

doi:10.1587/transcom.E94.B.3163

Regular Section

A Semidefinite Relaxation Approach to Spreading Sequence Estimation for DS-SS Signals

Hua Guo ZHANG, Qing MOU, Hong Shu LIAO, Ping WEI

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Keywords: direct sequence spread spectrum signal, semidefinite relaxation, maximum likelihood estimate, spreading sequence estimation

JOURNAL RESTRICTED ACCESS

2011 Volume E94.B Issue 11 Pages 3163-3167

DOI https://doi.org/10.1587/transcom.E94.B.3163

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Abstract

In non-cooperative scenarios, the estimation of direct sequence spread spectrum (DS-SS) signals has to be done in a blind manner. In this letter, we consider the spreading sequence estimation problem for DS-SS signals. First, the maximum likelihood estimate (MLE) of spreading sequence is derived, then a semidefinite relaxation (SDR) approach is proposed to cope with the exponential complexity of performing MLE. Simulation results demonstrate that the proposed approach provides significant performance improvements compared to existing methods, especially in the case of low numbers of data samples and low signal-to-noise ratio (SNR) situations.

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