Compression Sensing Acquisition of Beidou Signal Based on MapReduce

In view of the Beidou satellite signal acquisition takes up hardware resources and consumes time, double-stages compression sensing acquire method is putted forward combined with the advantages of compressed sensing in data mining. The sparsity of Beidou signal in correlation domain is used to structure transformation matrix while the Walsh-Hadamard matrix was used to reconstruct signal. The method realizes a quick acquisition in the first stage and accurately acquisition on the second phase. Combined with MapReduce in Hadoop platform to establish a double stage Beidou satellite signal acquire model, the experiment simulation proved that the acquire probability of algorithm is no less than 98% and saves correlation channels about one-third compared to the parallel algorithm.