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.
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This work was supported by CEMEE State Key Laboratory fund under Grant 2020Z0207B, National Defense Science and Technology Key Laboratory fund under Grant 6142001190105.
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Pan, D., Xu, D., Hu, C., Hua, B. (2021). Research on Source Detection and Its Performance Analysis in Sensor Array. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_36
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DOI: https://doi.org/10.1007/978-3-030-66785-6_36
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