Blind adaptive detection for asynchronous CDMA systems

K. Wong, T. O’Farrell
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引用次数: 6

Abstract

The application and performance of a blind adaptive algorithm in a DS-CDMA communication system is considered. The proposed blind algorithm is a stochastic gradient-based algorithm derived from the standard least mean square (LMS) adaptation algorithm. The algorithm is blind in the sense that information of other users such as the timing, channel information and not required. We demonstrate the convergence of the blind algorithm in the mean square error (MSE) sense and derive its steady state MSE. The bit error rate (BER) and MSE performance of the proposed blind algorithm in an asynchronous system are presented.
异步CDMA系统的盲自适应检测
研究了一种盲自适应算法在DS-CDMA通信系统中的应用及其性能。该盲算法是在标准最小均方自适应算法的基础上发展而来的一种基于随机梯度的盲算法。该算法是盲的,即不需要其他用户的定时、信道等信息。我们证明了盲算法在均方误差(MSE)意义上的收敛性,并推导了它的稳态MSE。给出了该盲算法在异步系统中的误码率和MSE性能。
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