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In this paper, we address the waveform optimization problem for improving the detection performance of MIMO-OFDM radar based STAP in the complex environment. Under the maximizing the output signal-to-interference-and-noise-ratio (SINR) criterion, the waveform optimization problem for improving the detection performance of STAP is derived, which is subjected to the constant modulus constraint. To tackle...
This paper investigates a massive MIMO multi-pair two-way relay system, where K-pair users exchange information within communication pair, with the help of a shared amplify- and-forward (AF) relay station (RS). Large scale antenna array is equipped at the RS and each user has a signal antenna. The RS adopts the zero-forcing reception/zero-forcing transmission (ZFR/ZFT) beamforming. The imperfect channel...
A multi-pair two-way amplify-and-forward relaying system is considered in this paper, where the $K$-pair users exchange information within pairs, with the help of a shared relay station. Each user is equipped with a single antenna while the relay station is equipped with a very large number of antennas $N$, where $N\gg2K$. The impact of imperfect channel state information (CSI) due to the channel...
In this paper, we address the problem of robust waveform optimization with imperfect clutter prior knowledge to improve the worst-case detection performance of multi-input multi-output (MIMO) space-time adaptive processing (STAP) in the presence of colored Gaussian disturbance. An iterative algorithm is proposed to optimize the waveform covariance matrix (WCM) for maximizing the worst-case output...
In this paper, we consider the robust waveform optimization to improve the worst-case detection performance over a convex uncertainty model. An iterative algorithm is proposed to optimize the waveform covariance matrix (WCM) for maximizing the worst-case output signal-interference-noise-ratio (SINR) such that the worst-case detection performance can be improved. Each iteration step in the proposed...
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