In this paper, we propose two kinds of improved nested arrays for direction arrival (DOA) estimation, which are obtained by rearranging physical sensors the prototype array. Specifically, sum-difference coarrays (SDCAs) proposed constructed jointly using temporal and spatial information received signal. By systematically analyzing structures arrays, derive closed-form expressions about their sensor positions, SDCAs, consecutive degrees freedom (DOFs), maximum array apertures, respectively....

As is well known, the prototype coprime arrays consist of two collinear subarrays, whose physical sensor number to each other. Moreover, their larger inter-element separations and array apertures make them have less mutual coupling than uniform linear arrays. Even so, there still existing in them, which has an adverse effect on direction arrival estimation. To reduce effects coupling, several improved configurations based concept difference sum coarray are proposed this paper, can be...

In this letter, a novel sparse array consisting of coprime and nested subarrays is designed corresponding two-dimensional (2-D) direction arrival (DOA) estimation method presented. The proposed can be decomposed into two planar subarrays, each which consists some identical linear arrays (NLAs). Especially, the dense in these NLAs form prototype arrays. Then, by vectorizing covariance matrices, virtual are available, have much larger apertures than physical ones. Subsequently, 2-D spatial...

Nested arrays are considered attractive due to their hole-free performance, and have the ability resolve O ( N 2 ) sources with physical sensors. Inspired by nested arrays, two kinds of three-parallel subarrays (TPNAs), which composed three parallel sparse linear different inter-element spacings, proposed for two-dimensional (2-D) direction-of-arrival (DOA) estimation in this paper. We construct cross-correlation matrices combine them as one augmented matrix first step. Then, vectorizing...

In this letter, we propose a joint processing method of spatial and temporal information from L-shaped sparse array (LSA) for two-dimensional (2-D) direction arrival (DOA) estimation. particular, either the two subarrays in LSA can be any type linear array. With proposed method, construct virtual planar first, whose corresponding 2-D difference coarray owns significantly increased degrees freedom, which help to enhance DOA estimation performance. Thereafter, subspace-based with smoothing...

Recently, many sparse-based direction-of-arrival (DOA) estimation methods for coprime arrays have become popular their excellent detection performance. However, these often suffer from grid mismatch problem due to the discretization of potential angle space, which will cause DOA performance degradation when target is off-grid. To this end, we proposed a off-grid method in paper, includes two parts: coarse process and fine process. In process, points closest true DOAs, named are derived by...

Nested arrays have recently attracted considerable attention in the field of direction arrival (DOA) estimation owing to hole-free property their virtual arrays. However, such are confined difference coarrays as only spatial information received signals is exploited. By exploiting and temporal jointly, four kinds novel nested based on sum-difference coarray (SDCA) concept proposed. To increase degrees freedom (DOFs) SDCA, a modified translational array (MTNA) introduced first. Then, by...

In this paper, we develop a new array model based on the parallel coprime moving platform. With motion, synthetic composed of original and its shifted version can be obtained, which has more unique consecutive lags in difference coarray thus owns higher degrees freedom than array. Furthermore, to solve grid mismatch problem caused by discretization angular space, also propose 2-D off-grid DOA estimation method. First, cross-covariance matrix is calculated vectorized get virtual received...

In order to increase market competition of enterprise products by blending Purchase Preference Consumer (PPC) in product configuration design.A model based on PPC was established, which effectively integrated Configuration Units (CU) and Rules(CR) Constraints (CC) at the core with Generic Units(GU),The solution analysis presented conjoint method, an algorithm for solving consumer utility value CU SPSS software given.An system designed scheme objective maximize satisfaction.Finally, a...

Abstract Modeling the thermal error for each feeding axis of CNC machine one by will lead to an exponential increase in compensation time. Th e axes same tool have similar characteristics. The modeling approach based on transfer learning was proposed improve efficiency modeling. module bulit X-axis horizontal lathe. Then, transferred Z-axis lathe domain adaptation. After verification, prediction residual range only -3.2μm~1.4μm, which has proved that method this paper is effective axis. It...

In this paper, we first propose a novel sparse array (NSA) composed of three adjoined subarrays, among which the and third ones can form prototype coprime (CA), second one is nested to them. When deploying NSA for direction arrival (DOA) estimation, two virtual CAs with larger apertures than physical be generated by vectorising covariance matrices corresponding specific subarray pairs. Accordingly, improved DOA estimation performance achieved. Afterwards, enhance noncircular sources, four...