Adaptive sensing of dynamic target state in heavy sea clutter

Y. Li; S. P. Sira; B. Moran; S. Suvorova; Douglas Cochran; Darryl Morrell; Antonia Papandreou-Suppappola

doi:10.1109/CAMSAP.2007.4497952

Adaptive sensing of dynamic target state in heavy sea clutter

Y. Li, S. P. Sira, B. Moran, S. Suvorova, Douglas Cochran, Darryl Morrell, Antonia Papandreou-Suppappola

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

6 Scopus citations

Abstract

We propose an adaptive estimation method for the spatio-temporal covariance matrix of sea clutter. The motivation is to enable adaptive detection approaches that rely on accurate estimation of this matrix. The method involves vectorization of the equations for the dynamical system model governing the temporal evolution of the clutter matrix followed by a multiple particle filtering approach to deal with the high dimensionality of the formulation. The estimated sea clutter covariance matrix is applied to the problem of detection of a small target in heavy clutter; effectiveness is demonstrated via simulations.

Original language	English (US)
Title of host publication	2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP
Pages	9-12
Number of pages	4
DOIs	https://doi.org/10.1109/CAMSAP.2007.4497952
State	Published - Dec 1 2007
Event	2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP - St. Thomas, Virgin Islands, U.S. Duration: Dec 12 2007 → Dec 14 2007

Publication series

Name	2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP

Other

Other	2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP
Country/Territory	Virgin Islands, U.S.
City	St. Thomas
Period	12/12/07 → 12/14/07

Keywords

Radar scattering function
Sea clutter estimation
Space-time covariance matrix
Waveform diversity
Waveform scheduling

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/CAMSAP.2007.4497952

Cite this

Li, Y., Sira, S. P., Moran, B., Suvorova, S., Cochran, D., Morrell, D., & Papandreou-Suppappola, A. (2007). Adaptive sensing of dynamic target state in heavy sea clutter. In 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP (pp. 9-12). [4497952] (2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP). https://doi.org/10.1109/CAMSAP.2007.4497952

Adaptive sensing of dynamic target state in heavy sea clutter. / Li, Y.; Sira, S. P.; Moran, B. et al.

2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP. 2007. p. 9-12 4497952 (2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP).

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

Li, Y, Sira, SP, Moran, B, Suvorova, S, Cochran, D , Morrell, D & Papandreou-Suppappola, A 2007, Adaptive sensing of dynamic target state in heavy sea clutter. in 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP., 4497952, 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP, pp. 9-12, 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP, St. Thomas, Virgin Islands, U.S., 12/12/07. https://doi.org/10.1109/CAMSAP.2007.4497952

Li Y, Sira SP, Moran B, Suvorova S, Cochran D , Morrell D et al. Adaptive sensing of dynamic target state in heavy sea clutter. In 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP. 2007. p. 9-12. 4497952. (2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP). doi: 10.1109/CAMSAP.2007.4497952

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abstract = "We propose an adaptive estimation method for the spatio-temporal covariance matrix of sea clutter. The motivation is to enable adaptive detection approaches that rely on accurate estimation of this matrix. The method involves vectorization of the equations for the dynamical system model governing the temporal evolution of the clutter matrix followed by a multiple particle filtering approach to deal with the high dimensionality of the formulation. The estimated sea clutter covariance matrix is applied to the problem of detection of a small target in heavy clutter; effectiveness is demonstrated via simulations.",

keywords = "Radar scattering function, Sea clutter estimation, Space-time covariance matrix, Waveform diversity, Waveform scheduling",

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KW - Space-time covariance matrix

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Adaptive sensing of dynamic target state in heavy sea clutter

Abstract

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Keywords

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