Detection of Narrow-Band Low-Level Signals: Simulated Performance of High-Resolution Eigenstructure Methods Versus Conventional Beamforming

摘要

In this report the detection of narrow-band low-level signals by passive sonar is addressed, specifically the detection of a low-level point source in a noise field modelled as a large number of high-level source lines embedded in white additive noise. This model may give, with a conventional processor, a measured noise field where the low-level source can be masked by high-level sources along similar directions. In this context, high-resolution eigenstructure detection algorithms are shown to achieve a significantly higher probability of detection than the conventional beamformer. The performance of four detection algorithms is compared using synthetic data- a companion report will present real data results. Keywords include: Detection performance; Eigenstructure methods; High-resolution; Interfering sources. NATO furnished. (RH)