Eigencanceller STAP algorithm by utilizing prolate spheroidal wave functions for airborne radar

Xiaopeng Yang; Yongxu Liu; Teng Long

doi:10.1109/ARRAY.2013.6731880

Eigencanceller STAP algorithm by utilizing prolate spheroidal wave functions for airborne radar

Xiaopeng Yang, Yongxu Liu, Teng Long

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

Abstract

The conventional eigencanceller-based (EC) space-time adaptive processing (STAP) method can suppress clutter down to zero which is suitable for nonhomogeneous clutter environments. Nevertheless, the EC STAP method has a higher computational complexity due to the eigen-decomposition. Therefore, an improved EC STAP method by utilizing the prolate spheroidal wave functions (PSWF) is proposed to reduce the computational complexity, where the ideal clutter subspace can be rapidly constructed by nonuniformly sampling the PSWF. Moreover, the proposed EC-P SWF STAP method is modified based on the covariance matrix taper (CMT) to deal with the subspace leakage phenomenon which is common in the actual clutter environment. The clutter suppression performance of the proposed method is evaluated by using the numerically simulated data.

Original language	English
Pages	510-514
Number of pages	5
DOIs	https://doi.org/10.1109/ARRAY.2013.6731880
Publication status	Published - 2013
Event	2013 5th IEEE International Symposium on Phased Array Systems and Technology, ARRAY 2013 - Waltham, MA, United States Duration: 15 Oct 2013 → 18 Oct 2013

Conference

Conference	2013 5th IEEE International Symposium on Phased Array Systems and Technology, ARRAY 2013
Country/Territory	United States
City	Waltham, MA
Period	15/10/13 → 18/10/13

Keywords

airborne radar
clutter suppression
eigencanceller-based STAP
prolate spheroidal wave function

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10.1109/ARRAY.2013.6731880

Cite this

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abstract = "The conventional eigencanceller-based (EC) space-time adaptive processing (STAP) method can suppress clutter down to zero which is suitable for nonhomogeneous clutter environments. Nevertheless, the EC STAP method has a higher computational complexity due to the eigen-decomposition. Therefore, an improved EC STAP method by utilizing the prolate spheroidal wave functions (PSWF) is proposed to reduce the computational complexity, where the ideal clutter subspace can be rapidly constructed by nonuniformly sampling the PSWF. Moreover, the proposed EC-P SWF STAP method is modified based on the covariance matrix taper (CMT) to deal with the subspace leakage phenomenon which is common in the actual clutter environment. The clutter suppression performance of the proposed method is evaluated by using the numerically simulated data.",

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author = "Xiaopeng Yang and Yongxu Liu and Teng Long",

year = "2013",

doi = "10.1109/ARRAY.2013.6731880",

language = "English",

pages = "510--514",

note = "2013 5th IEEE International Symposium on Phased Array Systems and Technology, ARRAY 2013 ; Conference date: 15-10-2013 Through 18-10-2013",

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T1 - Eigencanceller STAP algorithm by utilizing prolate spheroidal wave functions for airborne radar

AU - Yang, Xiaopeng

AU - Liu, Yongxu

AU - Long, Teng

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N2 - The conventional eigencanceller-based (EC) space-time adaptive processing (STAP) method can suppress clutter down to zero which is suitable for nonhomogeneous clutter environments. Nevertheless, the EC STAP method has a higher computational complexity due to the eigen-decomposition. Therefore, an improved EC STAP method by utilizing the prolate spheroidal wave functions (PSWF) is proposed to reduce the computational complexity, where the ideal clutter subspace can be rapidly constructed by nonuniformly sampling the PSWF. Moreover, the proposed EC-P SWF STAP method is modified based on the covariance matrix taper (CMT) to deal with the subspace leakage phenomenon which is common in the actual clutter environment. The clutter suppression performance of the proposed method is evaluated by using the numerically simulated data.

AB - The conventional eigencanceller-based (EC) space-time adaptive processing (STAP) method can suppress clutter down to zero which is suitable for nonhomogeneous clutter environments. Nevertheless, the EC STAP method has a higher computational complexity due to the eigen-decomposition. Therefore, an improved EC STAP method by utilizing the prolate spheroidal wave functions (PSWF) is proposed to reduce the computational complexity, where the ideal clutter subspace can be rapidly constructed by nonuniformly sampling the PSWF. Moreover, the proposed EC-P SWF STAP method is modified based on the covariance matrix taper (CMT) to deal with the subspace leakage phenomenon which is common in the actual clutter environment. The clutter suppression performance of the proposed method is evaluated by using the numerically simulated data.

KW - airborne radar

KW - clutter suppression

KW - eigencanceller-based STAP

KW - prolate spheroidal wave function

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DO - 10.1109/ARRAY.2013.6731880

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T2 - 2013 5th IEEE International Symposium on Phased Array Systems and Technology, ARRAY 2013

Y2 - 15 October 2013 through 18 October 2013

ER -

Eigencanceller STAP algorithm by utilizing prolate spheroidal wave functions for airborne radar

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