基于四线性分解的双基地MIMO雷达的角度和多普勒频率联合估计

Abstract

Abstract: This paper studies the joint estimation of angle and Doppler frequency in a bistatic multiple-input multiple-output (MIMO) radar, and proposes a joint angle and Doppler frequency estimation algorithm using quadrilinear decomposition. It reconstructed the delayed received-data to develop a quadrilinear data model. Using quadrilinear alternating least squares (QALS), it obtained an estimation of the direction matrix and the Doppler frequency matrix, and further the estimated angles and frequency via the least squares. The proposed algorithm requires no peek searching, does not need a priori knowledge of the reflection coefficients, and it can realize automatically paired angles and Doppler frequency. Furthermore, it is suitable for non-uniform arrays, and the angle estimation performance is better than that of multi-dimensional ESPRIT and trilinear alternating least squares (TALS). The paper analyzes the complexity of the algorithm, and derives the Cramer-Rao bound (CRB). Simulation compares the proposed algorithm with other algorithms, and verifies its validity.

Key words: MIMO radar, quadrilinear decomposition, joint estimation, Doppler frequency, least squares

CLC Number:

V243.2

LI Jianfeng, ZHANG Xiaofei. Joint Estimation of Angle and Doppler Frequency in Bistatic MIMO Radar Based on Quadrilinear Decomposition[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2012, 33(8): 1474-1482.

References

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Joint Estimation of Angle and Doppler Frequency in Bistatic MIMO Radar Based on Quadrilinear Decomposition

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