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Detection of Gaussian signals in Poisson-modulated interference.
1Naval Undersea Warfare Center, Newport, Rhode Island 02841, USA. streitrl@npt.nuwc.navy.mil
The Journal of the Acoustical Society of America
|October 29, 2000
Summary
This study analyzes passive sonar detection with multiple interferers. We developed a new method to improve target signal recognition by accounting for interference, enhancing detection accuracy in noisy environments.
Area of Science:
- Underwater acoustics
- Signal processing
- Statistical modeling
Background:
- Passive sonar systems are crucial for underwater target detection.
- Detecting signals in the presence of multiple discrete interferers poses significant challenges.
- Existing models often simplify interference, limiting performance in complex scenarios.
Purpose of the Study:
- To analyze passive broadband detection performance using hydrophone arrays.
- To model discrete interferers using a nonhomogeneous Poisson process.
- To derive an interference-compensated recognition differential for passive sonar equations.
Main Methods:
- Analysis under Gaussian statistics and low signal-to-noise ratio (SNR) conditions.
- Modeling interferer arrival directions with a nonhomogeneous Poisson-modulated interference process.
- Derivation of closed-form expressions for the recognition differential.
Main Results:
- A novel interference-compensated recognition differential was derived.
- The new differential includes an additive positive term accounting for interference.
- This term depends on interference-to-noise ratio (INR), interference directionality, and array beam pattern.
Conclusions:
- The derived interference-compensated recognition differential improves passive sonar performance.
- Accurate modeling of discrete interferers is key to enhancing target detection.
- The findings offer a more robust approach to passive sonar signal recognition.