自适应伪码捕获中的一种CFAR检测法

基于传统恒虚警检测提出一种自适应伪随机码捕获系统的删除恒虚警检测概率模型。删除滑动窗中超过预先设置的删除门限的强信号分量,余下的分量取平均形成判决门限,只要删除门限设置合适,该模型抗多径效应的性能便较传统方法有较好改善。分别比较了该新模型与传统模型在均匀噪声和多径干扰下的性能,得到该新模型适用于低信噪比、低耗的快速自适应PN码捕获系统的结论。

CFAR method in adaptive PN code acquisition

An E-CFAR model in adaptive PN code acquisition based on traditional CFAR detection is presented. In this article, the excision sliding window excises the strong signals which exceed the excision threshold that setting in advance, then the remnant signals are averaged to form detection threshold, if only the threshold sets appropriate, this model performs better in multi-path fading channel than traditional model. This article compares the new model with traditional model in homogeneous noise and multi-path fading environment respectively. The conclusion is that the new model is more acceptable for the low SNR, lowcost fast adaptive PN code acquisition system.