  In dual-functional communication-radar systems, common radio frequency (RF)
signals are used for both communication and detection. For better compatibility
with existing communication systems, we adopt multiple-input multiple-output
(MIMO) orthogonal frequency division multiplexing (OFDM) signals as integrated
signals and investigate the estimation performance of MIMO-OFDM signals. We
first analyze the Cramer-Rao lower bound (CRLB) of parameters estimation. Then,
transmit powers over different subcarriers are optimized to achieve the best
tradeoff between transmission rate and estimation performance. Finally, we
propose a more accurate estimation method which utilizes canonical polyadic
decomposition (CPD) of three-order tensor to obtain the parameter matrices. Due
to the characteristic of the column structure of the parameter matrices, we
just need to use DFT / IDFT to recover the parameters of multiple targets. The
simulation results show that the estimation method based on tensor can achieve
performance close to CRLB and the estimation performance can be improved by
optimizing the transmit powers.
