The covariance matrix of the array output is widely used for direction-of-arrival (DOA)
estimation in array signal processing. However, the existing methods are only suitable for …

Co-prime arrays can estimate the directions of arrival (DOAs) of O (MN) sources with O (M+
N) sensors, and are convenient to analyze due to their closed-form expression for the …

A coprime array enables an increased number of degrees-of-freedom by deriving a non-
uniform virtual array. However, existing work such as spatial smoothing fails to utilize all of …

This paper considers the complex-valued mixing matrix estimation and direction-of-arrival
(DOA) estimation of synchronous orthogonal frequency hopping (FH) signals in the …

Quasi-stationary signals have been widely found in practical applications, which have time-
varying second-order statistics while staying static within local time frames. In this paper, we …

In this paper, we propose a novel Vandermonde decomposition-based direction-of-arrival
(DOA) estimation algorithm by using a coprime array, where increased number of degrees …

Sparse arrays have gained considerable attention in recent years because they can resolve
more sources than the number of sensors. The coprime array can resolve O (MN) sources …

In this paper, we consider the direction of arrival (DOA) estimation issue of noncircular (NC)
source in multiple-input multiple-output (MIMO) radar and propose a novel unitary nuclear …

Two-dimensional multiple signal classification (MUSIC) algorithm based on polarization
sensitive array (PSA) has excellent performance. However, it suffers a high computational …

针对中医脉象模糊性强, 种类繁多, 特征复杂的特点, 以及传统模糊聚类方法, BP
神经网络识别方法的不足, 提出了一种基于极限学习机(extreme learning machine, ELM) …