The conventional direction of arrival (DOA) estimation algorithms, e.g., MUSIC, root-MUSIC, and ESPRIT, may not be effective when applying to massive antenna array configuration, because they only require a large amount receive snapshots but also suffer from forbiddingly high computational complexity. In this letter, we propose low-complex DOA algorithm for uniform linear array. We first obtain coarse initial estimates via the fast Fourier transmission then search accurate within very small...

In this letter, the problem of joint angle and array gain-phase error estimation for bistatic multiple-input multiple- output (MIMO) radar is investigated, an algorithm with characteristics multiple signal classification (MUSIC) proposed. Through reduced-dimension transform, angles can be obtained via two one-dimensional peak searches, estimated by utilizing angles. The proposed achieve automatically paired estimations angles, suitable non-uniform linear array. For case separately-located...

This paper proposes a new algorithm to estimate the nominal direction-of-arrival (DOA) and angular spread of multiple incoherently distributed (ID) sources. With general array manifold (GAM) model, DOAs are first separated from original manifold. Then, generalized shift invariance property inside is identified, based on which obtained when rank trickily formulated matrix drops. Next, spreads estimated central moments distribution. We also derive polynomial rooting search-free method for DOA...

The problem of direction arrival (DOA) estimation non‐circular (NC) signal for non‐uniform linear array is investigated. A generalised‐ESPRIT (GESPRIT) algorithm can be treated as an improvement ESPRIT and the inter‐elements spacing geometry uniform or within a half wavelength. authors combine GESPRIT NC property, propose NC‐GESPRIT to obtain DOAs signals, which requires spectrum peak searching. Moreover, computationally efficient search‐free root algorithm, based on polynomial rooting, also...

This letter tackles the problem of 2-D direction-of-arrival (2-D-DOA) estimation for uniform rectangle array (URA) in presence unknown nonuniform noise. By exploiting diagonal characteristic noise covariance matrix, a reduced tensor is formulated, which links 2-D-DOA to quadrilinear decomposition model, and an alternating least squares strategy developed obtain estimates. Furthermore, stochastic Cramer-Rao bound URA derived. The proposed method does not require eigendecomposition can achieve...

In this study, the authors discuss topic of joint angle and Doppler frequency estimation in a monostatic multiple‐input–multiple‐output radar compressed sensing parallel factor (CS‐PARAFAC) analysis‐based algorithm is proposed. algorithm, problem firstly linked to trilinear model, then estimated matrix can be derived through alternating least square method are jointly with sparsity from matrices. The proposed CS‐PARAFAC which obtain automatically paired estimation, has very close performance...

In this paper, we propose a noncircular-parallel factor (NC-PARAFAC) algorithm for two-dimensional direction of arrival (DOA) estimation noncircular signals acoustic vector-sensor array. The proposed enhances the angle performance via utilizing noncircularity signals, and it can be suitable arbitrary array subjected to unknown locations achieve automatically paired estimation. has better than signal parameters rotational invariance technique, PARAFAC algorithm, propagator method....

This paper discusses the problem of joint direction arrival (DOA) and Doppler frequency estimation coherent targets in a monostatic multiple-input multiple-output radar. In proposed algorithm, we perform reduced dimension (RD) transformation on received signal first then use forward spatial smoothing (FSS) technique to decorrelate coherence obtain DOA by exploiting parameters via rotational invariance techniques (ESPRIT) algorithm. The estimated RD-FSS-ESPRIT are automatically paired....

Abstract:

In this work, the direction finding of coherently distributed (CD) sources using a uniform linear array (ULA) is investigated. Conventional DSPE algorithm for localization CD requires an extensive two-dimensional search nominal DOAs and angular spreads. The proposed exploits propagator, which operator that can be easily estimated from received data, to identify subspace. Then it constructs decoupled one-dimensional spectrum estimator with aid characteristic ULA rank reduction criterion....

The problem of joint direction arrival (DOA) and Doppler frequency estimation in monostatic multiple-input multiple-output (MIMO) radar is studied a computationally efficient multiple signal classification (CE-MUSIC) algorithm proposed. Conventional MUSIC for DOA requires large computational cost due to the two dimensional (2D) spectral peak searching. Aiming at this shortcoming, proposed CE-MUSIC firstly uses reduced-dimension transformation reduce subspace dimension then obtains estimates...

In this work, a new algorithm for angular parameters estimation of incoherently distributed sources is proposed. By using the general array manifold model, nominal DOAs can be firstly separated from original manifold. Then generalized shift invariance property inside identified, based on which estimated. The spreads are next estimated central moments distribution. Compared with popular ESPRIT-ID algorithm, proposed one could achieve higher accuracy, handle more sources, and applied much...