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A Semidefinite Relaxation Approach to Spreading Sequence Estimation for DS-SS Signals
Hua Guo ZHANG Qing MOU Hong Shu LIAO Ping WEI
IEICE TRANSACTIONS on Communications
Publication Date: 2011/11/01
Online ISSN: 1745-1345
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Wireless Communication Technologies
direct sequence spread spectrum signal, semidefinite relaxation, maximum likelihood estimate, spreading sequence estimation,
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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.