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An accurate direction-of-arrival (DOA) estimation algorithm with sparse sensor array is proposed. By dividing the nonuniform linear sparse array (NLSA) into two uniform linear sparse arrays (ULSA), the subarray response vectors yield a property of rotational invariance in the estimation of rough DOA without ambiguity using the so-called generalized ESPRIT. According to the estimated rough DOA, the...
In this paper, we consider the direction of arrival (DOA) estimation problem under the coexistence of noncircular and circular signals. By exploiting the difference between the circularity of noncircular and circular signals, a method is proposed, which estimates the DOAs of noncircular and circular signals separately. The maximum number of detectable directions by the proposed method is twice that...
Recently, the development of mobile communications is making radio wave environments more complicated. To model radio wave environment appropriately, DOA (directions of arrival) estimation of individual incoming waves with array antenna is much effective [1]. For the purpose, many DOA estimation methods have been developed [1]. Among them, the high-resolution DOA estimation methods such as MUSIC and...
Direction-Of-Arrival (DOA) estimation is one of significant techniques for high-speed mobile communication to know wave propagation environment [1]. High resolution DOA estimation algorithms like MUSIC [2], and ESPRIT [3] have already been widely used in many wireless communication applications. Generally planar array structures are used for 2-D DOA estimation. Planar arrays often well estimate azimuth...
SUMWE (SUbspace-based Method Without Eigendecompositon) is one of the high-resolution DOA (Direction Of Arrival) estimation methods for coherent waves [1]. SUMWE employs spectrum peak search in DOA estimation like MUSIC method [2], that often leads large computational cost. Recalling that Root-MUSIC method [3] without spectrum peak search greatly reduces the computational cost, similar root-finding...
Multipath reflection has great influence on the meter-wave radar low-elevation height-finding. In this paper, a computationally efficient method is presented fully using the information included in the received data covariance matrix. This method is proposed according to the spatial smoothing concept and the propagator operator method. The presented method constructs new forward and backward matrices...
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