A novel ML DOA estimation algorithm for array signal processing
نویسندگان
چکیده
منابع مشابه
A Novel Approach to DOA Estimation in Radar Array Processing
In sensor array signal processing especially in Radar, there is a growing interest in the estimation of a targets direction of arrival (DOA) against strong background noise or interference. Many algorithms used to estimate target DOA broadly classified as classical beam forming techniques and subspace based techniques (high resolution algorithms).In this paper a new DOA estimator is proposed ba...
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The performance of traditional direction of arrival (DOA) estimation algorithm based on uniform circular array (UCA) is constrained by the array aperture. Furthermore, the array requires more antenna elements than targets, which will increase the size and weight of the device and cause higher energy loss. In order to solve these issues, a novel low energy algorithm utilizing array base-line rot...
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In many applications, the direction-of-arrival (DOA) estimation problem is of great interest. After blind separation of the signals incident onto the receiving sensor array, the DOAs can be estimated for each source individually. Non-Gaussian signals with negative kurtosis can be automatically captured by the constant modulus (CM) array, which is the most striking blind beamforming algorithm an...
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We present a new subspace-based direction of arrival (DOA) estimation algorithm for narrow-band sources with high-resolution localization capabilities. The algorithm is based on the invariance property of noise subspace to power of emitters. We speci2cally compare the resolution of the proposed algorithm with the well-known high-resolution multiple signal classi2cation (MUSIC) method. The propo...
متن کاملFractional difference co-array perspective for wideband signal DOA estimation
In recent years, much attention has been focused on difference co-array perspective in DOA estimation field due to its ability to increase the degrees of freedom and to detect more sources than sensors. In this article, a fractional difference co-array perspective (FrDCA) is proposed by vectorizing structured second-order statistics matrices instead of conventional zero-lag covariance matrix. A...
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ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2018
ISSN: 2261-236X
DOI: 10.1051/matecconf/201823203055