TY - GEN
T1 - High-resolution direction finding for MIMO radar systems without eigendecomposition
AU - Huang, Lei
AU - Wu, Siliang
PY - 2011
Y1 - 2011
N2 - By simultaneously transmitting and receiving multiple coded waveforms with multiple-input multiple-output (MIMO) configuration, the MIMO radar appears more attractive than the traditional phased array radar in performance. However, when applied in the MIMO radar system, the classical subspace-based methods for high-resolution DOA estimation are computationally prohibited as the observed covariance matrix is the Kronecker product of the transmit and receive covariance matrices, considerably increasing the size of the covariance matrix. To cure this problem, a computationally efficient subspace-based method for DOA estimation is addressed in this paper. The proposed method only needs vector-vector operations, and does not involve the covariance matrix calculation and its EVD or inversion operations. Therefore, the proposed method is computationally attractive for practical applications. Numerical results are included to illustrate the performance of the proposed method.
AB - By simultaneously transmitting and receiving multiple coded waveforms with multiple-input multiple-output (MIMO) configuration, the MIMO radar appears more attractive than the traditional phased array radar in performance. However, when applied in the MIMO radar system, the classical subspace-based methods for high-resolution DOA estimation are computationally prohibited as the observed covariance matrix is the Kronecker product of the transmit and receive covariance matrices, considerably increasing the size of the covariance matrix. To cure this problem, a computationally efficient subspace-based method for DOA estimation is addressed in this paper. The proposed method only needs vector-vector operations, and does not involve the covariance matrix calculation and its EVD or inversion operations. Therefore, the proposed method is computationally attractive for practical applications. Numerical results are included to illustrate the performance of the proposed method.
KW - Sensor array processing
KW - direction of arrival (DOA)
KW - eigendecomposition
KW - multiple-input multiple-output (MIMO) radar
UR - http://www.scopus.com/inward/record.url?scp=84860606718&partnerID=8YFLogxK
U2 - 10.1109/IMCCC.2011.237
DO - 10.1109/IMCCC.2011.237
M3 - Conference contribution
AN - SCOPUS:84860606718
SN - 9780769545196
T3 - Proceedings - 2011 International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC 2011
SP - 941
EP - 944
BT - Proceedings - 2011 International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC 2011
T2 - 1st International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC2011
Y2 - 21 October 2011 through 23 October 2011
ER -