Title :
Joint MIMO radar waveform and receiving filter optimization
Author :
Chen, Chun-Yang ; Vaidyanathan, P.P.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
Abstract :
The concept of MIMO (multiple-input multiple-output) radar allows each transmitting antenna element to transmit an arbitrary waveform. This provides extra degrees of freedom compared to the traditional transmit beamforming approach. It has been shown in the recent literature that MIMO radar systems have many advantages. In this paper, we consider the joint optimization of waveforms and receiving filters in the MIMO radar when the prior information of target and clutter are available. A novel iterative algorithm is proposed to optimize the waveforms and receiving filters such that the detection performance can be maximized. The proposed algorithm guarantees that the SINR performance improves in each iteration step. The numerical results show that the proposed methods have better SINR performances than existing design methods.
Keywords :
MIMO communication; filtering theory; radar receivers; radar transmitters; MIMO radar systems; iterative algorithm; joint MIMO radar waveform; joint optimization; multiple-input multiple-output radar; receiving filter optimization; transmit beamforming approach; transmitting antenna element; Array signal processing; Information filtering; Information filters; Iterative algorithms; MIMO; Radar antennas; Radar clutter; Radar detection; Signal to noise ratio; Transmitting antennas; Beamforming; Clutter; Extended Target; MIMO Radar; Waveform Design;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960023