Waveform-agile multiple target tracking using probability hypothesis density filtering

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

doi:10.1109/SAM.2012.6250479

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 proceeding › Conference 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 language	English (US)
Title of host publication	2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Pages	245-248
Number of pages	4
DOIs	https://doi.org/10.1109/SAM.2012.6250479
State	Published - 2012
Event	2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 - Hoboken, NJ, United States Duration: Jun 17 2012 → Jun 20 2012

Publication series

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

Other

Other	2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Country/Territory	United States
City	Hoboken, NJ
Period	6/17/12 → 6/20/12

ASJC Scopus subject areas

Signal Processing
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/SAM.2012.6250479

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

Waveform-agile multiple target tracking using probability hypothesis density filtering. / O'Donnell, Brian; Jason Zhang, Jun; Papandreou-Suppappola, Antonia et al.

2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012. 2012. p. 245-248 6250479 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

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

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., 6250479, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, pp. 245-248, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012, Hoboken, NJ, United States, 6/17/12. https://doi.org/10.1109/SAM.2012.6250479

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

@inproceedings{33599eae9c294a69bbae26553d7c3a8c,

title = "Waveform-agile multiple target tracking using probability hypothesis density filtering",

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.",

author = "Brian O'Donnell and {Jason Zhang}, Jun and Antonia Papandreou-Suppappola and Muralidhar Rangaswamy",

year = "2012",

doi = "10.1109/SAM.2012.6250479",

language = "English (US)",

isbn = "9781467310710",

series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",

pages = "245--248",

booktitle = "2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012",

note = "2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 ; Conference date: 17-06-2012 Through 20-06-2012",

}

TY - GEN

T1 - Waveform-agile multiple target tracking using probability hypothesis density filtering

AU - O'Donnell, Brian

AU - Jason Zhang, Jun

AU - Papandreou-Suppappola, Antonia

AU - Rangaswamy, Muralidhar

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84867199854&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867199854&partnerID=8YFLogxK

U2 - 10.1109/SAM.2012.6250479

DO - 10.1109/SAM.2012.6250479

M3 - Conference contribution

AN - SCOPUS:84867199854

SN - 9781467310710

T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

SP - 245

EP - 248

BT - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012

T2 - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012

Y2 - 17 June 2012 through 20 June 2012

ER -

Waveform-agile multiple target tracking using probability hypothesis density filtering

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this