A Method of PN Code Acquisition Using Signed-rank-based Nonparametric Detector in Multiplicative Noise
乘性噪声环境下基于符号秩统计量的非参伪码捕获方法

The spread-spectrum system usually works in the multipath environment, along with the additive noise there always be some multiplicative noise. In order to solve the Pseudo-Noise (PN) code acquisition in multiplicative noise channel, a new detector using signed-rank-based nonparametric detector is proposed in this paper. Modeling the acquisition problem as a hypothesis testing problem, a detector is derived for multiplicative noise, based on signed-rank statistics using the locally optimum detection technique. Then the Locally Suboptimum Rank (LSR) detector is proposed by using approximate score functions. Numerical results show that the LSR detector can offer substantial performance improvement over the conventional squared-sum detector in multiplicative noise channels and asymptotically has almost the same performance as the locally optimum detector in multiplicative noise.