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
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