Research Article
Research on Source Detection and Its Performance Analysis in Sensor Array
@INPROCEEDINGS{10.1007/978-3-030-66785-6_36, author={Deng Pan and Dazhuan Xu and Chao Hu and Boyu Hua}, title={Research on Source Detection and Its Performance Analysis in Sensor Array}, proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings}, proceedings_a={MLICOM}, year={2021}, month={1}, keywords={Sensor array Source detection Information theory Detection information N-P criterion ROC}, doi={10.1007/978-3-030-66785-6_36} }- Deng Pan
Dazhuan Xu
Chao Hu
Boyu Hua
Year: 2021
Research on Source Detection and Its Performance Analysis in Sensor Array
MLICOM
Springer
DOI: 10.1007/978-3-030-66785-6_36
Abstract
In this paper, the application of information theory to describe the existing problem of signal source in sensor array is investigated in the presence of complex additive white Gaussian noise (CAWGN). Firstly, We derive the theoretical formula of constant modulus scattering signal detection information under the condition of target matching in a single source scenario based on the information theory approach (ITA) and the theoretical expressions between detection probability and false alarm probability. Then, according to the Neyman-Pearson (N-P) criterion, the detection probability and false alarm probability of the constant modulus scattering signal are derived separately and derive the corresponding detection information through existing methods. Finally, the simulations of detection information and receiver operating characteristics (ROC), according to the presented expressions, are carried out to compare the detection performance based on information theory and N-P criterion. Our analysis indicates that the theoretical detection performance of ITA can be obviously better than that of N-P criterion, which also verifies the reliability and effectiveness of ITA.
