DocumentCode :
3154125
Title :
Optimal power allocation for MIMO radars with heterogeneous propagation losses
Author :
Song, Xiufeng ; Willett, Peter ; Zhou, Shengli
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
2465
Lastpage :
2468
Abstract :
A multiple-input multiple-output (MIMO) radar can improve system performance with waveform and spatial diversities. Mathematically, the multiple independent waveforms increase the dimension of signal space, so optimal transmission power allocation deserves investigation. The majority of the literature prefers to omit the effect of propagation attenuation, and considers the receiving gain vectors to be independently and identically distributed (i.i.d.) in power allocation. In this paper, we integrate the propagation losses into MIMO radar signal model, and investigate the power allocation problems under three popular criteria: maximizing the mutual information, minimizing the minimum mean square errors, and maximizing the echo energy. As their objective functions are either convex or concave, the optimal strategies are theoretically guaranteed.
Keywords :
MIMO radar; least mean squares methods; radar signal processing; MIMO radar signal model; MMSE; concave objective functions; convex objective functions; echo energy maximization; heterogeneous propagation losses; independently and identically distributed; minimum mean square error minimization; multiple independent waveforms; multiple-input multiple-output radar; mutual information maximization; optimal transmission power allocation; propagation attenuation; receiving gain vectors; signal space; spatial diversities; system performance improvement; MIMO; MIMO radar; Propagation losses; Receivers; Resource management; Transmitters; Vectors; MIMO radar; minimum mean square error; mutual information; power allocation; propagation attenuation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288415
Filename :
6288415
Link To Document :
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