Variance bounds for passively locating an acoustic source with a symmetric line array

摘要: The maximum‐likelihood (ML) processor is presented for passively estimating range and bearing to an acoustic source. source signal observed a finite‐time duration at several sensors in the presence of uncorrelated noise. When speed sound isovelocity medium sensor positions are known, ML estimator position constrains delays be focused into point corresponding hypothesized location. variances error optimum processor. It shown that estimation, different configurations desirable. However, if area uncertainty minimized, then should divided equal groups with one‐third each group.