Waveform design and scheduling for agile sensors for target tracking

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

Waveform design and scheduling for agile sensors for target tracking

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

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

19 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 language	English (US)
Title of host publication	Conference Record - Asilomar Conference on Signals, Systems and Computers
Editors	M.B. Matthews
Pages	820-824
Number of pages	5
Volume	1
State	Published - 2004
Event	Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 7 2004 → Nov 10 2004

Other

Other	Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers
Country/Territory	United States
City	Pacific Grove, CA
Period	11/7/04 → 11/10/04

ASJC Scopus subject areas

General Engineering

Cite this

Sira, SP, Morrell, D & Papandreou-Suppappola, A 2004, Waveform design and scheduling for agile sensors for target tracking. in MB Matthews (ed.), Conference Record - Asilomar Conference on Signals, Systems and Computers. vol. 1, pp. 820-824, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, United States, 11/7/04.

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AU - Morrell, Darryl

AU - Papandreou-Suppappola, Antonia

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N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:21644476094

VL - 1

SP - 820

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BT - Conference Record - Asilomar Conference on Signals, Systems and Computers

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T2 - Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers

Y2 - 7 November 2004 through 10 November 2004

ER -

Waveform design and scheduling for agile sensors for target tracking

Abstract

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ASJC Scopus subject areas

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