Statistical Properties of Mobile-to-Mobile Code Alignment in CDMA Communications
Wireless Personal Communications: An International Journal
An efficient code-timing estimator for DS-CDMA systems over resolvable multipath channels
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing
A low-complexity adaptive antenna array code acquisition
Signal Processing
Multirate adaptive filtering for low complexity DS/CDMA code acquisition
Signal Processing
Sparsity-aware estimation of CDMA system parameters
EURASIP Journal on Advances in Signal Processing - Special issue on advanced equalization techniques for wireless communications
Low-rank wiener filtering for asynchronous DS-CDMA systems with adaptive antenna arrays
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
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We present an efficient algorithm for estimating the code timing of a known training sequence in an asynchronous direct-sequence code division multiple access (DS-CDMA) system. The algorithm is a large sample maximum likelihood (LSML) estimator that is derived by modeling the known training sequence as the desired signal and all other signals including the interfering signals and thermal noise as unknown colored Gaussian noise that is uncorrelated with the desired signal. The LSML estimator is shown to be robust against the near-far problem and is also compared with several other code timing estimators via numerical examples. It is found that the LSML approach can offer noticeable performance improvement, especially when the loading of the system is heavy