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학술저널

A Study on Signal Parameters Estimation via Nonlinear Minimization

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The problem for parameter estimation of the received signals impinging on array sensors has long been of great research interest in a great variety of applications, such as radar, sonar, and land mobile communications systems. Conventional subspace-based aigorithms, such as MUSIC and ESPRIT, require an extensive computation of inverse matrix and eigen-decomposition. In this paper, we propose a new parameters estimation algorithm via nonlinear minimization, which is simplified computationally and estimates signal parameters simultaneously.

Abstract

1. Introduction

2. Array Data Model

3. Signal Parameters Estimation

4. Computer Simulations

5. Conculations

References

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