[PDF] Top 20 Low-Complexity Direction-of-Arrival Estimation Based on Wideband Co-Prime Arrays

... of low-complexity compressive sensing based direction-of-arrival (DOA) estimation methods for wideband co- prime arrays is ...is based on a ... See full document

... The outline of this paper is as follows. The narrow-band signal model and the conventional MUSIC algorithm are introduced in Section 2. In Section 3, the steering vector of a ULA that used in the standard MUSIC is ... See full document

... of arrival estimation and source localisation via sparse arrays has been a popular area of research over the past decade and has found its way into many applications, including radar ...in ... See full document

... algorithm based on the eigendecomposition of the auto-covariance of the received data and has been widely ...bearing estimation with arrays consisting of a large number of sensors is the propagator ... See full document

... of direction-of-arrival (DOA) estimation by using spectral search for a non-uniform planar array is ...DOA estimation based on piecewise interpolation are ...are based on ... See full document

... DOA estimation. Some 2D DOA estimation algorithms using L-shaped array have also been proposed ...a low compu- tational complexity and need less antenna elements than those algorithms using ... See full document

... DOA estimation algorithms have been proposed ...the estimation of signal parameters via rotational invariance technique (ESPRIT) [6], root multiple signal classification (MUSIC) [7], and self-initiating ... See full document

... of wideband signals, among which maximum-likelihood (ML) methods and subspace methods are the most well ...is low or varies at different frequency bins since even a single outlier from one frequency bin can ... See full document

... joint estimation of the direction-of-arrival (DOA) and parameters of wideband polynomial-phase signals (PPSs) in sensor ...antenna arrays, containing tens or hundreds of sensors, are ... See full document

... two-dimensional direction of arrival (2D-DOA) estimation algorithm for coprime L-shaped arrays with multiple signal classification (MUSIC) was ...shaped arrays consists of two uniform ... See full document

... processing, direction-of-arrival (DOA) estimation is of practical interest in radar, sonar, wireless communications and other applications [1, ...and estimation of signal parameters via ... See full document

... multi-frequency co-prime arrays are employed to perform direction-of-arrival (DOA) estimation with enhanced degrees of freedom ...difference co-array of the ... See full document

... different estimation or signal processing techniques in order to improve the ac- curacy and decrease the complexity of adaptive beamforming ...the direction of arrival of an acoustic ... See full document

... dition based on the cumulative spectrum, we have con- sidered four uncorrelated sources located at -36°, -30°, 30°, 50° that impinge on a ULA with M = 10 sensors separated by half the ... See full document

... unbiased estimation of the generalized steering matrix (GSM) B of the sources from which an analysis of the signal parameters can be performed for each coherent group in an independent ...same estimation ... See full document

... etc.. Direction-of-arrival (DOA) estimation, which is also called spatial spectra estimation, is one of the crucial applications of the array signal ...DOA estimation methods can be ... See full document

... algorithms, estimation of signal parameter via rotational invariance technique ...DOA estimation techniques is to plot a pseudo spectrum, by searching the peak to find the angle of arrival of ...DOA ... See full document

... The proposed robust adaptive beamformers are based on explicit modeling of uncertainties in the desired signal array response and data covariance matrix as well as worst-case performance[r] ... See full document

... Let’s make statistical measurements of MUSIC method in various scenarios. The range of signal-noise ratio (SNR) is from 15 dB up to 0 dB, the number of the averaging samples K of the spatial correlation matrix (28) is ... See full document

... can be resolved by the neural network techniques. Neural networks perform the basic mathematical operations and calculate elementary functions. They are therefore faster as compared to the computationally intensive DOA ... See full document