Estimating Spreading Waveform of DS-SS signals at low SNR
This paper proposes a computationally efficient spreading-waveform-estimation method for the non-symbol-periodic Direct Sequence Spread Spectrum (DS-SS) signals. The method is a low SNR unconditional maximum likelihood (UML) estimation algorithm. It works under the assumption of uniformly distributed transmission delay, which may cause mismatch in the real-world model. Equivalence exists between the proposed estimator and the dominant mode despreading estimator. Advantages of the proposed estimator are less computational complexity and simple expression that allows for comprehensive performance analysis. Asymptotic analysis shows that the UML estimator acts as a weighted version of the spreading waveform, although it may be biased by model mismatch. Using the Perron-Frobenius Theorem, the validity of the estimator for the blind applications is discussed. Simulation results demonstrate the merits of the proposed UML estimator.
Qing Mou Ping Wei
Department of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China 610054
国际会议
2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)
成都
英文
277-281
2009-07-23（万方平台首次上网日期，不代表论文的发表时间）