Phased array radar based angular domain channel estimation scheme for integrated radar communication system
By sharing hardware resources, integrated radarcommunication systems can effectively solve issues of high cost, complicated electromagnetic environment, and inefficient information processing, which the traditional systems with individual radar and communication models suffer from. For integrated radar communication systems, accurate channel estimation is essential to guarantee the system performance, while few literature has addressed this issue. In this paper, based on integration mode of time division multiplex, we propose a compressive sensing (CS) based virtual angular domain channel estimation scheme for phased array radar based integrated radar communication systems, whereby the spatial channel sparsity is leveraged for the enhanced performance. Specifically, we elaborate a sequence of pre defined beamforming vectors at the transmitter to probe the channel. At the receiver, we formulate channel estimation as a sparse signal recovery problem, where the sparsity adaptive matching pursuit (SAMP) algorithm is used to solve this problem. Simulation results demonstrate that our proposed scheme can effectively solve the channel estimation problem in the integrated radar communication system with much reduced complexity, and outperforms the conventional least square (LS) estimator by 4dB~5dB when channel estimation mean square error (MSE) performance is considered.
MILCOM 2016 2016 IEEE Military Communications Conference