Analysis of the Optimal Receiver System for Underwater Electromagnetic Detection

Given the characteristics of underwater electromagnetic detection systems, starting from typical applications, this paper analyzes the impact of random variables on the optimal receiver. The mathematical expression of the optimal receiver is derived using the Generalized Likelihood Ratio Test (GLRT), and the test statistics are determined. Expressions for the receiver threshold, detection probability, and false alarm probability are derived, and the system block diagram of the optimal receiver is obtained. Through simulation, the working characteristics of the generalized likelihood ratio receiver and the matched filter are compared. It is verified that the performance of this receiver is close to that of a matched filter under different conditions. Since the maximum likelihood estimation of random parameters is used, this receiver is considered suboptimal. However, when the signal-to-noise ratio (SNR) is high, this receiver can replace the matched filter as the optimal receiver.

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Publication Details

Journal
Electronics
Published
2025-10-22
DOI
https://doi.org/10.3390/electronics14214143
Primary Topic
Radar Systems and Signal Processing
Type
article
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article

Analysis of the Optimal Receiver System for Underwater Electromagnetic Detection

Siwei Tan, Bo Tang, Linsen Zhang
Electronics
Radar Systems and Signal Processing
article

Analysis of the Optimal Receiver System for Underwater Electromagnetic Detection

Siwei Tan, Bo Tang, Linsen Zhang
article en

Abstract

Given the characteristics of underwater electromagnetic detection systems, starting from typical applications, this paper analyzes the impact of random variables on the optimal receiver. The mathematical expression of the optimal receiver is derived using the Generalized Likelihood Ratio Test (GLRT), and the test statistics are determined. Expressions for the receiver threshold, detection probability, and false alarm probability are derived, and the system block diagram of the optimal receiver is obtained. Through simulation, the working characteristics of the generalized likelihood ratio receiver and the matched filter are compared. It is verified that the performance of this receiver is close to that of a matched filter under different conditions. Since the maximum likelihood estimation of random parameters is used, this receiver is considered suboptimal. However, when the signal-to-noise ratio (SNR) is high, this receiver can replace the matched filter as the optimal receiver.

ElectronicsVol. 14(21)
Naval University of Engineering (CN)
Openalex Percentile: Top 59%
Radar Systems and Signal Processing
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