Waveform-agile multiple target tracking using probability hypothesis density filtering

Brian O'Donnell, Jun Jason Zhang, Antonia Papandreou-Suppappola, Muralidhar Rangaswamy

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

Abstract

We investigate a waveform-agile technique for tracking multiple targets using the probability hypothesis density filter (PHDF). We assume that waveforms can be chosen from a class of linear frequency-modulated signals with varying parameters and implement the PHDF sequentially using particle filtering. The selection process myopically chooses the transmit waveform for each target by minimizing the predicted mean-squared error (MSE) across a pre-computed waveform library. Using simulations, we compare the performance of the proposed waveform-agile PHDF tracker with a fixed waveform PHDF tracker, demonstrating improved MSE tracking performance.

Original languageEnglish (US)
Title of host publication2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Pages245-248
Number of pages4
DOIs
StatePublished - Oct 12 2012
Event2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 - Hoboken, NJ, United States
Duration: Jun 17 2012Jun 20 2012

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Electronic)2151-870X

Other

Other2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
CountryUnited States
CityHoboken, NJ
Period6/17/126/20/12

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ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

O'Donnell, B., Jason Zhang, J., Papandreou-Suppappola, A., & Rangaswamy, M. (2012). Waveform-agile multiple target tracking using probability hypothesis density filtering. In 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 (pp. 245-248). [6250479] (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop). https://doi.org/10.1109/SAM.2012.6250479