Parameter-searched OMP method for eliminating basis mismatch in space-time spectrum estimation

Gatai Bai; Ran Tao; Juan Zhao; Xia Bai

doi:10.1016/j.sigpro.2017.03.003

Parameter-searched OMP method for eliminating basis mismatch in space-time spectrum estimation

Gatai Bai, Ran Tao^*, Juan Zhao, Xia Bai

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

38 Citations (Scopus)

Abstract

The basis mismatch in the sparse recovery based space-time adaptive processing (SR-STAP) can severely affect the reconstruction of the space-time spectrum. In this paper, we propose a parameter-searched orthogonal matching pursuit (PSOMP) algorithm to eliminate the effect of the basis mismatch in SR-STAP. In the PSOMP, the optimal parameters carried in the atom selected by the OMP are searched so that this atom can match with the true steering vector of the corresponding scatter in the data. The feasibility of the key step of the PSOMP is theoretically analyzed. Finally, simulation results demonstrate that the PSOMP has a high performance in eliminating the effect of the basis mismatch in SR-STAP.

Original language	English
Pages (from-to)	11-15
Number of pages	5
Journal	Signal Processing
Volume	138
DOIs	https://doi.org/10.1016/j.sigpro.2017.03.003
Publication status	Published - 1 Sept 2017

Keywords

Basis mismatch
Orthogonal matching pursuit (OMP)
Space-time adaptive processing (STAP)
Space-time spectrum
Sparse recovery (SR)

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10.1016/j.sigpro.2017.03.003

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title = "Parameter-searched OMP method for eliminating basis mismatch in space-time spectrum estimation",

abstract = "The basis mismatch in the sparse recovery based space-time adaptive processing (SR-STAP) can severely affect the reconstruction of the space-time spectrum. In this paper, we propose a parameter-searched orthogonal matching pursuit (PSOMP) algorithm to eliminate the effect of the basis mismatch in SR-STAP. In the PSOMP, the optimal parameters carried in the atom selected by the OMP are searched so that this atom can match with the true steering vector of the corresponding scatter in the data. The feasibility of the key step of the PSOMP is theoretically analyzed. Finally, simulation results demonstrate that the PSOMP has a high performance in eliminating the effect of the basis mismatch in SR-STAP.",

keywords = "Basis mismatch, Orthogonal matching pursuit (OMP), Space-time adaptive processing (STAP), Space-time spectrum, Sparse recovery (SR)",

author = "Gatai Bai and Ran Tao and Juan Zhao and Xia Bai",

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doi = "10.1016/j.sigpro.2017.03.003",

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T1 - Parameter-searched OMP method for eliminating basis mismatch in space-time spectrum estimation

AU - Bai, Gatai

AU - Tao, Ran

AU - Zhao, Juan

AU - Bai, Xia

PY - 2017/9/1

Y1 - 2017/9/1

N2 - The basis mismatch in the sparse recovery based space-time adaptive processing (SR-STAP) can severely affect the reconstruction of the space-time spectrum. In this paper, we propose a parameter-searched orthogonal matching pursuit (PSOMP) algorithm to eliminate the effect of the basis mismatch in SR-STAP. In the PSOMP, the optimal parameters carried in the atom selected by the OMP are searched so that this atom can match with the true steering vector of the corresponding scatter in the data. The feasibility of the key step of the PSOMP is theoretically analyzed. Finally, simulation results demonstrate that the PSOMP has a high performance in eliminating the effect of the basis mismatch in SR-STAP.

AB - The basis mismatch in the sparse recovery based space-time adaptive processing (SR-STAP) can severely affect the reconstruction of the space-time spectrum. In this paper, we propose a parameter-searched orthogonal matching pursuit (PSOMP) algorithm to eliminate the effect of the basis mismatch in SR-STAP. In the PSOMP, the optimal parameters carried in the atom selected by the OMP are searched so that this atom can match with the true steering vector of the corresponding scatter in the data. The feasibility of the key step of the PSOMP is theoretically analyzed. Finally, simulation results demonstrate that the PSOMP has a high performance in eliminating the effect of the basis mismatch in SR-STAP.

KW - Basis mismatch

KW - Orthogonal matching pursuit (OMP)

KW - Space-time adaptive processing (STAP)

KW - Space-time spectrum

KW - Sparse recovery (SR)

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U2 - 10.1016/j.sigpro.2017.03.003

DO - 10.1016/j.sigpro.2017.03.003

M3 - Article

AN - SCOPUS:85014945674

SN - 0165-1684

VL - 138

SP - 11

EP - 15

JO - Signal Processing

JF - Signal Processing

ER -

Parameter-searched OMP method for eliminating basis mismatch in space-time spectrum estimation

Abstract

Keywords

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