DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇，并可以在带有“噪声”的空间数据库中发现任意形状的聚类。-DBSCAN is a density-based clustering algorithm. Algorithm change will have enough height to the regional cluster. and to be with the \"noise\" of the spatial database found clusters of

采用匹配滤波，实现伪码捕获功能，模块内部可以产生简单噪声来验证捕获性能(verilog)

qpsk 在无噪声情况下的仿真结果 用于参考-qpsk case in the absence of noise simulation results for reference