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| Spatial-Temporal Super Resolution Algorithm of Multi-Carrier-Frequency MIMO Radar |
| Yang Ming-lei; Chen Bai-xiao; Qin Guo-dong; Zhang Shou-hong |
| National Key Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China |
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Abstract The signal model of MCF-MIMO (Multi-Carrier-Frequency MIMO) Radar are constructed first in this paper. Then an equivalent array with Nt×Nr antennas is formed after the signal preprocessing, where Nt and Nr are respectively the transmitted and received antenna number, and the equivalent steering vector is the kronecker product of transmitted steering vector and received steering vector in the case of narrow band signal. And it is proposed to adopt the Spatial-Temporal MUSIC (MUltiple SIgnal Characterization) method to realize the super resolution of range and angle based on the above characteristics and to improve the estimating precision of range and angle when there are many targets. The Cramer-Rao bound of range and angle estimation are derived and also the variation of estimation variance of range and angle with Signal to Noise Ratio (SNR), snap number and direction of arrival are studied and simulated. Finally the simulation results of multi-dimensional spatial-temporal super resolution algorithm with planar array are presented and they validate the application of the algorithm in the case of planar array and multi-dimensional.
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Received: 24 June 2008
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2009, Vol. 31 
