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Performance and Optimization of Multistage Partial Parallel Interference Cancellation for Wideband CDMA Systems in Multipath Fading Channels

机译:多径衰落信道中宽带CDMA系统多级部分并行干扰消除的性能和优化

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摘要

In this paper, a closed-form bit error rate (BER) of hard-decision multistage partial parallel interference cancellation (PPIC) having perfect and imperfect channel estimation for complex spreading code-division multiple access (CDMA) over multi-path Rayleigh channels was derived. The effects of receiving BER, power ratio of pilot to data channels, multiple-access interference (MAI) and multipath interference, additive white Gaussian noise, and other factors affecting channel estimation error are analyzed. The expression determining the optimal interference cancellation weight at path level for PPIC is first derived. Then, the oscillatory behavior of user-level-optimized PIC and the convergence of perfect channel estimation PIC and path-level-optimized PIC are validated. Results indicate that all factors determining the optimal weight certainly affect the BER performance of PPIC and that the lower BER limit of multistage PPIC depends on the adjustable factors, which include power ratio, observation length, and signal-to-noise ratio, and an unchangeable factor, i.e., number of users. In addition, the variance of MAI for complex spreading sequence is obtained, and the analytical expression can also be employed to predict the performance of multicode CDMA.
机译:本文针对多径瑞利信道上复杂扩频码分多址(CDMA)的信道估计具有完美和不完善的硬判决多级部分并行干扰消除(PPIC)的闭式误码率(BER)为派生。分析了接收BER,导频与数据信道的功率比,多址干扰(MAI)和多径干扰,加性高斯白噪声以及其他影响信道估计误差的因素的影响。首先推导确定在路径级别上用于PPIC的最佳干扰消除权重的表达式。然后,验证了用户级优化的PIC的振荡行为以及完美信道估计PIC和路径级优化的PIC的收敛性。结果表明,确定最佳权重的所有因素都必定会影响PPIC的BER性能,而多级PPIC的BER下限取决于可调因素,包括功率比,观察长度和信噪比,以及不变因素,即用户数量。另外,获得了复杂扩频序列的MAI的方差,解析表达式也可用于预测多码CDMA的性能。

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