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In this paper, we consider robust direction-of-arrival (DOA) estimation for an array that contains mis-calibrated sensors with unknown gain and phase uncertainties. We develop two robust DOA estimation algorithms based on the maximum correntropy criterion (MCC). In the first algorithm, adaptively optimized weighting factors are obtained and applied to each sensor to effectively mitigate the effect...
A conventional coprime array is a linear array, which consists of two uniform linear subarrays to construct an effective difference coarray with certain desirable characteristics. In this paper, we propose a parallel coprime array structure and a novel algorithm for two-dimensional (2-D) direction-of-arrival (DOA) estimation. By vectorizing the cross-covariance matrix of subarray data, the resulting...
Sparsity-aware multi-sensor multi-target tracking (MTT) algorithms comprise a two-step sequential architecture that cascades a group sparse reconstruction scheme and a multi-target tracker. The former exploits the a priori knowledge that the measurements across multiple sensors share a common sparse support in a discretized target state space and provides a computationally efficient approach for centralized...
The performance of the frequency diverse array (FDA) radar is fundamentally limited by the geometry of the array and the frequency offset. In this paper, we overcome this limitation by introducing a novel sparsity-based multi-target localization approach incorporating both coprime array and coprime frequency offset. The covariance matrix of the received signals corresponding to all sensors and employed...
In this paper, a high-resolution subspace-based method is proposed for single-snapshot direction-of-arrival (DOA) estimation in multiple-input multiple-output (MIMO) radar. First, a ‘principal’ weight vector is designed for transmit beamforming to achieve a desired transmit power distribution, e.g., to focus the transmit power within certain desired spatial sector(s), while minimizing the out-of-sector...
We propose a new scheme to estimate the directions-of-arrival of mixed coherent and uncorrelated signals exploiting a nested multiple-input multiple-output (MIMO) system. In the proposed scheme, the DOAs of the uncorrelated sources are first estimated using subspace-based methods, whereas those of the coherent sources are resolved using compressive sensing techniques. The proposed approach works for...
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