In this letter, we propose a coprime array interpolation approach to provide an off-grid
direction-of-arrival (DOA) estimation. Through array interpolation, a uniform linear array …

Usually, direction-of-arrival (DOA) estimators are derived under the assumption of uniform
white noise, whose covariance matrix is a scaled identity matrix. However, in practice, the …

In this paper, we study the problem of wideband direction of arrival (DoA) estimation with
sparse linear arrays (SLAs), where a number of uncorrelated wideband signals impinge on …

The direction-of-arrivals (DOAs) of plane waves in a high-frequency region are estimated
without spatial aliasing using multi-frequency processing. The method exploits the difference …

Many well-known line spectral estimators may experience significant performance loss with
noisy measurements. To address the problem, we propose a deep learning denoising …

It is known that classical subspace-based direction-of-arrival (DOA) estimation algorithms
are not straightforwardly applicable to scenarios with unknown spatially nonuniform noise …

In this paper, we propose direction-of-arrival (DOA) estimation techniques, respectively
based on covariance matrix reconstruction and matrix completion, to achieve robust DOA …

Underdetermined direction-of-arrival (DOA) estimation for wideband signals by sparse
arrays is discussed in the framework of sparse Bayesian learning (SBL). The problem is …

In this letter, we consider the problem of underdetermined direction-of-arrival estimation of
wideband signals using nested arrays in the framework of sparse signal recovery. The …

为解决基于稀疏阵列的宽带欠定信号到达角(DOA) 估计问题, 该文提出基于分布式压缩感知(
DCS) 的宽带DOA 估计算法. 首先, 对稀疏阵列宽带信号处理模型进行理论推导与分析 …