A Semidefinite Relaxation Approach to Spreading Sequence Estimation for DS-SS Signals
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概要
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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.
- （社）電子情報通信学会の論文
- 2011-11-01
著者
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Zhang Hua
College Of Electronic Engineering University Of Electronic Science And Technology Of China
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MOU Qing
College of Electronic Engineering, University of Electronic Science and Technology of China
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LIAO Hong
College of Electronic Engineering, University of Electronic Science and Technology of China
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WEI Ping
College of Electronic Engineering, University of Electronic Science and Technology of China
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Mou Qing
College Of Electronic Engineering University Of Electronic Science And Technology Of China
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Liao Hong
College Of Electronic Engineering University Of Electronic Science And Technology Of China
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Wei Ping
College Of Electronic Engineering University Of Electronic Science And Technology Of China
関連論文
- A Semidefinite Relaxation Approach to Spreading Sequence Estimation for DS-SS Signals
- Doppler Shift Based Target Localization Using Semidefinite Relaxation