Waveform design and scheduling for agile sensors for target tracking

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

Waveform agile sensors are capable of modifying transmitted waveforms to adapt to a particular scenario of interest. In this paper, we investigate the problem of optimizing the pulse length and frequency sweep rate of transmitted sonar waveforms to track a target moving in two dimensions using two sensors. We use Simultaneous Perturbation Stochastic Approximation (SPSA) in conjunction with a particle filter tracker to optimize the waveform parameters to minimize the expected squared tracking error at each time (greedy minimization). Simulation results show that waveforms with optimized parameters provide better performance than those that use fixed parameters.

Original languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
EditorsM.B. Matthews
Pages820-824
Number of pages5
Volume1
StatePublished - 2004
EventConference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 7 2004Nov 10 2004

Other

OtherConference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/7/0411/10/04

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Waveform design and scheduling for agile sensors for target tracking'. Together they form a unique fingerprint.

  • Cite this

    Sira, S. P., Morrell, D., & Papandreou-Suppappola, A. (2004). Waveform design and scheduling for agile sensors for target tracking. In M. B. Matthews (Ed.), Conference Record - Asilomar Conference on Signals, Systems and Computers (Vol. 1, pp. 820-824)