Time-varying waveform selection and configuration for agile sensors in tracking applications

Author

Sira, Sandeep P. ; Papandreou-Suppappola, Antonia ; Morrell, Darryl

Author_Institution

Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA

Volume

5

fYear

2005

fDate

18-23 March 2005

Abstract

We present an algorithm for dynamic waveform selection and configuration for agile sensors in a target tracking application. The method selects and configures generalized frequency-modulated (FM) waveforms with time-varying signatures to minimize the predicted mean squared tracking error. We derive the Cramer-Rao lower bound (CRLB) for these signals and use the CRLB in conjunction with the unscented transform to compute the predicted mean square error. The method is computationally feasible and applicable to nonlinear scenarios as demonstrated in our simulations.

Keywords

frequency modulation; mean square error methods; minimisation; prediction theory; sensors; signal processing; target tracking; CRLB; Cramer-Rao lower bound; agile sensors; dynamic waveform configuration; dynamic waveform selection; generalized FM waveforms; generalized frequency-modulated waveforms; nonlinear scenarios; predicted mean square error minimization; predicted mean squared tracking error minimization; target tracking application; time-varying signatures; time-varying waveform configuration; time-varying waveform selection; unscented transform; Algorithm design and analysis; Bandwidth; Chirp; Cost function; Frequency; Mean square error methods; Scheduling algorithm; System performance; TV; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8874-7

Type

conf

DOI

10.1109/ICASSP.2005.1416445

Filename

1416445