Multiframe detector/tracker: optimal performance
- 1 July 2001
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Aerospace and Electronic Systems
- Vol. 37 (3) , 925-945
- https://doi.org/10.1109/7.953247
Abstract
We develop the optimal Bayes multiframe detector/tracker for rigid extended targets that move randomly in clutter. The performance of this optimal algorithm provides a bound on the performance of any other suboptimal detector/tracker. We determine by Monte Carlo simulations the optimal performance under a variety of scenarios including spatially correlated Gaussian clutter and non-Gaussian (K and Weibull) clutter. We show that, for similar tracking performance, the optimal Bayes tracker can achieve peak signal-to-noise ratio gains possibly larger than 10 dB over the commonly used combination of a spatial matched filter (spatial correlator) and a linearized Kalman-Bucy tracker. Simulations using real clutter data with a simulated target suggest similar performance gains when the clutter model parameters are unknown and estimated from the measurements.Keywords
This publication has 22 references indexed in Scilit:
- Coherent detection of radar signals in G-distributed clutterPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Computer generation of correlated non-Gaussian radar clutterIEEE Transactions on Aerospace and Electronic Systems, 1995
- Non-Gaussian random vector identification using spherically invariant random processesIEEE Transactions on Aerospace and Electronic Systems, 1993
- Modelling and simulation of non-Rayleigh radar clutterIEE Proceedings F Radar and Signal Processing, 1991
- A Detection Algorithm for Optical Targets in ClutterIEEE Transactions on Aerospace and Electronic Systems, 1987
- Principles of Modern RadarPublished by Springer Nature ,1987
- Characterisation of radar clutter as a spherically invariant random processIEE Proceedings F Communications, Radar and Signal Processing, 1987
- Dynamic Programming Solution for Detecting Dim Moving TargetsIEEE Transactions on Aerospace and Electronic Systems, 1985
- The viterbi algorithmProceedings of the IEEE, 1973
- A dynamic programming approach to trajectory estimationIEEE Transactions on Automatic Control, 1966