Coprime sampling and the music algorithm
WebAbstract: In this work, we present a new coprime array structure termed thinned coprime array (TCA), which exploits the redundancy in the structure of existing coprime array and achieves the same virtual aperture and degrees of freedom (DOFs) as the conventional coprime array with much fewer number of sensors. WebJun 9, 2024 · The Cramér-Rao bound (CRB) for direction of arrival (DOA) estimation exploiting both auto-correlation and cross-correlation information within multiple frequencies of the received array signals is...
Coprime sampling and the music algorithm
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WebJan 1, 2014 · A coprime array consists of two uniform linear subarrays with inter-element spacings M λ / 2 and N λ / 2, where M and N are coprime integers and λ is the … WebSep 26, 2024 · AbstractIn this work, we propose a novel coprime array with compressed inter-element spacing (CACIS) configuration, which achieves the more consecutive and unique degrees of freedom ... Coprime sampling and the MUSIC algorithm, in 2011 digital signal processing and signal processing education meeting (DSP/SPE) (IEEE, 2011), ...
WebThis paper proposes a general coprime sampling scheme that implements effective compression of Toeplitz covariance matrices, and examines different schemes on covariance matrix acquisition for performance evaluation, comparison, and optimal design, based on segmented data sequences. 33 PDF Coprime sampling and the music … WebTwo-dimensional direction-of-arrival (DOA) estimation in coprime planar array involves problems that the complexity of spectral peak search is huge and the noncircular feature of signals is not considered. Considering that unitary estimating signal parameters via rotational invariance techniques (Unitary-ESPRIT) is a low complexity subspace …
WebSep 17, 2024 · Through transforming the sparse array to a virtual ULA based on difference coarray, spatial smoothing multiple signal classification (SS-MUSIC) and direct … Web% DOA estimation for CADiS config. using MUSIC algorithm % reference: % 1. Qin S, Zhang Y D, Amin M G. Generalized % coprime array configurations for direction-of-arrival estimation[J]. % Signal Processing, IEEE Transactions on, 2015, 63(6): 1377-1390. % 2. Pal P, Vaidyanathan P P. Coprime sampling and the music algorithm[C]
WebMar 23, 2011 · Coprime sampling and the music algorithm (2011) Piya Pal 577 Citations. A new approach to super resolution line spectrum estimation in both temporal and …
WebApr 22, 2024 · Underdetermined direction of arrival (DOA) estimation with coprime array is discussed in the framework of multiple measurement sparse Bayesian learning (MSBL). Exploiting the extended difference coarray, a larger number of degrees of freedom can be obtained for locating more sources than sensors. A linear operation and a prewhitening … sail twilsWeb文献[5]将2维多重信号分类(2 Dimension-MUltiple SIgnal Classification, 2D-MUSIC)技术引入双基地MIMO雷达，能够同时估计多个目标的DOD和DOA，并提出了一种降维MUSIC算法降低2维谱峰搜索的运算量。文献[6]通过2次独立的旋转不变子空间参数估计(Estimation of Signal Parameters via ... thief in chiefWebCoprime. more ... When two numbers have no common factors other than 1. In other words there is no whole number that you could divide them both by exactly (without any … thiefing coseWebNov 1, 2024 · The execution time of the FIIB and root-MUSIC algorithms for each coprime pair were recorded and averaged over the simulation runs. In order to account for the … sail t shirtWebFeb 14, 2024 · The first and most important step in calculating a coprime for any given number is finding the prime factors of the number. You can go through this process for … thiefing”:WebSpecial Issue Information. Dear Colleagues, Sparse arrays, such as coprime and nested arrays, have recently attracted considerable attention for their application in improving active and passive sensing in radar, navigation, underwater acoustics and wireless communications. Sparse array signal processing provides a systematical framework for ... thief in furWebThe topic of joint angle and frequency estimation (JAFE) has aroused extensive interests in the past decades. Current estimation algorithms mainly rely on the Nyquist sampling criterion. In order not to cause ambiguity for parameter estimation, the space–time intervals must be smaller than given thresholds, which results in complicated hardware costs and … thief in brief