Title :
The probabilistic data association filter with multiple nonuniform clutter regions
Author :
Colegrove, Samuel B. ; Davey, Samuael J.
Author_Institution :
Defence Sci. & Technol. Organ., Salisbury, SA, Australia
Abstract :
The N3VPDAF extension of the PDAF to include a clutter model with multiple regions having different nonuniform distributions is formulated and demonstrated to give improved performance on recorded data from an OTHR. The extension covers the case of target SNR in the state vector so that SNR is estimated in the same way as any other component of the state vector. The advantages of this approach are identified as providing greater adaptivity to the received data. A tracking system that incorporates the M2-N3VPDAF and the N3VPDAF described in this paper has been installed on the Jindalee OTHR. It is used for all air surveillance operations from Alice Springs in central Australia
Keywords :
military radar; probability; radar clutter; radar theory; radar tracking; search radar; state estimation; target tracking; tracking filters; Australia; Jindalee OTHR; M2-N3VPDAF; N3VPDAF extension; OTHR; PDAF; air surveillance; clutter model; multiple regions; nonuniform distributions; performance; probabilistic data association filter; state vector estimation; target SNR; tracking system; Australia; Density measurement; Inspection; Low pass filters; Noise measurement; Probability density function; Signal analysis; Signal to noise ratio; Target tracking; Working environment noise;
Conference_Titel :
Radar Conference, 2000. The Record of the IEEE 2000 International
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-5776-0
DOI :
10.1109/RADAR.2000.851806
