Track formation with bearing and frequency measurements in clutter

Target motion analysis from a narrowband passive sonar that yields bearing and frequency measurements in the presence of false detections (clutter) in a low-SNR (low signal-to-noise ratio) environment is discussed. The likelihood function used to compute the maximum likelihood estimation of the track parameters (localization and frequency) incorporates the false alarms via the probabilistic data association technique. The Cramer-Rao lower bound is calculated and results obtained from simulations are shown to be compatible with it. A test of track acceptance is also presented. >

[1]  Y. Bar-Shalom,et al.  Detection thresholds for tracking in clutter--A connection between estimation and signal processing , 1985 .

[2]  Herbert Gish,et al.  Target State Estimation in a Multitarget Environment Using Multiple Sensors , 1987, IEEE Transactions on Aerospace and Electronic Systems.

[3]  D. Pillon,et al.  Target Motion Analysis With Bearings And Frequencies Measurements , 1988, Twenty-Second Asilomar Conference on Signals, Systems and Computers.

[4]  Åke Björck,et al.  Numerical Methods , 2021, Markov Renewal and Piecewise Deterministic Processes.

[5]  Yaakov Bar-Shalom,et al.  Detection and estimation for multiple targets with two omnidirectional sensors in the presence of false measurements , 1990, IEEE Trans. Acoust. Speech Signal Process..

[6]  C. Jauffret,et al.  Target motion analysis with bearings and frequencies measurements via instrumental variable estimator (passive sonar) , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[7]  S.M. Kay,et al.  Digital signal processing for sonar , 1981, Proceedings of the IEEE.

[8]  W. Burdic.  Underwater Acoustic System Analysis , 1984 .

[9]  K. Gong,et al.  Fundamental properties and performance of conventional bearings-only target motion analysis , 1984 .

[10]  Vic Barnett.  Comparative Statistical Inference , 1975 .