Parameter Estimation for Two-Dimensional Incoherently Distributed Source with Double Cross Arrays

Two-Dimensional DOA Estimation for Coherently Distributed Sources with Symmetric Properties in Crossed Arrays

In this paper, a novel algorithm is proposed for the two-dimensional (2D) central direction-of-arrival (DOA) estimation of coherently distributed (CD) sources. Specifically, we focus on a centro-symmetric crossed array consisting of two uniform linear arrays (ULAs). Unlike the conventional low-complexity methods using the one-order Taylor series approximation to obtain the approximate rotationa...

The Doa Estimation of Incoherently Distributed Source Using the Propagator Method

Wiring Space Estimation in Two-Dimensional Arrays

We propose a new global routing area estimation approach for high-performance VLSI and MCMs. The objective is to route nets with minimum density of global cells, producing a four-bend routing for each two-terminal net. A solution to this problem can also be used for quick estimation of necessary wiring space (for standard cell array designs) and difficulty of routing (for gate array designs) in...

Fast moving horizon estimation for a two-dimensional distributed parameter system

Partial differential equations (PDEs) pose a challenge for control engineers, both in terms of theory and computational requirements. PDEs are usually approximated by ordinary differential equations or difference equations via the finite difference method, resulting in a high-dimensional state-space system. The obtained system matrix is oftentimes symmetric, which allows this high-dimensional s...

Distributed Incremental Least Mean-Square for Parameter Estimation using Heterogeneous Adaptive Networks in Unreliable Measurements

Adaptive networks include a set of nodes with adaptation and learning abilities for modeling various types of self-organized and complex activities encountered in the real world. This paper presents the effect of heterogeneously distributed incremental LMS algorithm with ideal links on the quality of unknown parameter estimation. In heterogeneous adaptive networks, a fraction of the nodes, defi...