Multitarget tracking algorithms using angle innovations and extended Kalman filter

Authors:
Sheng-Yun Hou;Hsien-Sen Hung;Yuan-Chang Chang;Shun-Hsyung Chang
Affiliations:
Department of Electrical Engineering, National Taiwan Ocean University, and Department of Electronic Engineering, Hwa Hsia Institute of Technology, Taipei County, Taiwan, R.O.C.;Department of Electrical Engineering, National Taiwan Ocean University, Taipei County, Taiwan, R.O.C.;Department of Electronic Engineering, Hwa Hsia Institute of Technology, Taipei County, Taiwan, R.O.C.;Department of Microelectronic Engineering, National Kaohsiung Marine University, Kaohsiung City, Taiwan, R.O.C.
Venue:
WSEAS TRANSACTIONS on SYSTEMS
Year:
2009

Citing 3
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Abstract

In this paper, we propose a novel angle tracking algorithm, called as FPAT, for tracking multiple narrowband targets. The proposed algorithm modifies the algorithm presented by Park, et al. in two ways by using the sensor array output vector rather than the sample covariance matrix and by incorporating the extended Kalman filter instead of a simple Kalman filter. It also applies the prediction characteristic of Kalman filter to prevent the data association problem. The proposed algorithm requires lower computational complexity and also improves the tracking performance especially at lower number of snapshots. Combined with the coherent signal-subspace (CSS) method, the FPAT algorithm is extended to track the direction-of-arrival angles of wideband sources. We also extend the FPAT algorithm to track the range, azimuth, and elevation of each narrowband source in 3-D space. Through computer simulations, the effectiveness of each proposed algorithm is verified.