记笔记

Ultra-Quick pulsar positioning and velocimetry method based on GA-optimized quantum CS

WU Daliang¹WU Jin¹LIU Jin¹MA Xin²KANG Zhiwei³

1. School of Information Science and Engineering,Wuhan University of Science and Technology 2. School of Instrumentation Science and Opto-electronics Engineering,Bei hang University (BUAA)3. School of Computer Science and Electronic Engineering,Hunan University

摘要：The size of the measurement matrix in compressive sensing（CS） is proportional to calculation cost.To reduce the calculation cost,we utilize genetic algorithm（GA） to decrease the size of the measurement mother matrix,and propose an ultra-quick pulsar positioning and velocimetry method based on GA-optimized quantum CS（GQCS）.There are two properties of the quantum measurement matrix.One is that the performance of the quantum measurement submatrices is different.The other one is that the combination of the quantum measurement sub-matrices affects the performance of the positioning and velocimetry method.Considering the randomness of the quantum measurement matrix,we select the quantum measurement sub-matrices from the quantum measurement mother matrix through GA.The quantum measurement matrix is divided into multiple sub-matrices.One gene in the chromosome determines whether the corresponding sub-matrix is retained or abandoned.The object of the fitness function is the estimated estimation errors of the quantum-based CS pulsar positioning and velocimetry（QCS）.Through iteration,GA provides the sub-optimal combination of the quantum measurement sub-matrices,forming a small-sized and high-performance quantum measurement matrix.Simulation results indicate that the GQCS has a lower calculation cost and higher accuracy compared with the QCS.

关键词：

GA; CS; X-ray pulsar; positioning; velocimetry;

基金：

supported by National Nature Science Foundation under Grant 61873196,61772187,61501336；

会议名称：

第34届中国控制与决策会议

会议时间：

2022-08-15

会议地点：

中国安徽合肥