Performance analysis of the adaptive hybrid search code acquisition algorithm for cellular CDMA systems

Hyung-Rae Park, Yeon-Sil Yang, Sang-Sik Yoon, Sang-Ho Lee
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Abstract

The hybrid search algorithm, a combination of the maximum-likelihood search and serial search algorithms, is known as one of the most promising techniques that can be used for code acquisition in CDMA forward links. An efficient adaptive hybrid search code acquisition algorithm with embedded CFAR is designed in this paper, which employs two operating modes, i.e., search and verification modes with M-parallel correlators used for maximum-likelihood detection in search mode. An analytical expression for the mean acquisition time is obtained and the exact expressions on the probabilities of detection, miss, and false alarm are derived for slowly varying frequency-selective Rayleigh fading environments. Numerical evaluation shall be performed to investigate the effects of sub-window size, number of post-detection integration, and so on, in the forward link of cellular CDMA networks.
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蜂窝CDMA系统自适应混合搜索码采集算法的性能分析
混合搜索算法是最大似然搜索和串行搜索算法的结合,是CDMA前向链路中最有前途的码采集技术之一。本文设计了一种高效的嵌入式CFAR自适应混合搜索码采集算法,该算法采用搜索和验证两种工作模式,在搜索模式下使用m并行相关器进行最大似然检测。得到了慢变频率选择瑞利衰落环境下平均采集时间的解析表达式以及检测概率、漏报率和虚警率的精确表达式。对蜂窝CDMA网络前向链路中子窗口大小、检测后积分次数等的影响进行数值评价。
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