Title :
MMSE based waveform design for MIMO radar with per antenna power constraint
Author :
Merline, A. ; Thiruvengadam, S.J.
Author_Institution :
Dept. of Electron. & Commun. Eng., Sethu Inst. of Technol., Kariapatti, India
Abstract :
The design of MIMO radar waveform to minimize mean square error (MSE) in estimating the target impulse response subject to per antenna power constraint is addressed here. The optimal solution for waveform design employs waterfilling that uses Sum Power Constraint (SPC) at the transmitter, results in wide power variations across the transmit antennas. So a more realistic p-norm power constraint that jointly meets both the average per-antenna power constraint (PAPC) and the average sum power constraint to bound the dynamic range of the power amplifier at each transmit antenna is considered here. The optimal solution is obtained using Karush-Kuhn-Tucker (KKT) approach. It is shown that the detection performance of the system with both sum and per antenna power constraint is better than considering only the sum power constraint.
Keywords :
MIMO radar; least mean squares methods; radar antennas; radar transmitters; transient response; transmitting antennas; Karush-Kuhn-Tucker approach; MIMO radar; SPC; average sum power constraint; dynamic range; minimum mean square error methods; p-norm power constraint; per antenna power constraint; power amplifier; radar transmitter; target impulse response; transmit antennas; waveform design; Bismuth; MIMO radar; Power amplifiers; Resource management; Signal to noise ratio; Transmitting antennas;
Conference_Titel :
Signal Processing and Communications (SPCOM), 2012 International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4673-2013-9
DOI :
10.1109/SPCOM.2012.6290023
