Title :
Adaptive waveform selection for tracking in clutter
Author :
Kershaw, David J. ; Evans, Robin J.
Author_Institution :
Mater. Res. Lab., Defence Sci. & Technol. Organ., Ascot Vale, Vic., Australia
fDate :
29 June-1 July 1994
Abstract :
Presents an adaptive waveform selective probabilistic data association (WSPDA) algorithm for tracking a single target in clutter. The assumption of an optimal receiver allows the inclusion of transmitted waveform specification parameters in the tracking subsystem equations, leading to a waveform selection scheme where the next transmitted waveform parameters are selected to minimise the total mean-square tracking error at the next time step. A simulation example demonstrates the potential of WSPDA tracking filters over conventional probabilistic data association (PDA) tracking filters.
Keywords :
clutter; covariance matrices; minimisation; target tracking; tracking filters; adaptive waveform selective probabilistic data association algorithm; clutter; optimal receiver; total mean-square tracking error; tracking; transmitted waveform specification parameters; Covariance matrix; Filters; Laboratories; Materials science and technology; Radar tracking; Sensor arrays; Sensor systems; System performance; Target tracking; Transducers;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.752383