Improving spatial spectrum analysis precision by least-square fitting method

Tiesheng Kong; Diannong Liang

doi:10.1117/12.139401

25 August 1992 Improving spatial spectrum analysis precision by least-square fitting method

Tiesheng Kong, Diannong Liang

Proceedings Volume 1698, Signal and Data Processing of Small Targets 1992; (1992) https://doi.org/10.1117/12.139401
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

This paper addresses the problem of direction-upon-arrival (DOA) estimation. It is well known that the mean-squared errors (MSE) of the DOA are proportional to reciprocal of the squared distance d between array elements, and asymptotically approach to the Cramer-Rao bound (CRD) as d increases. However, this may cause spatial frequency alinning. In this paper, using non-uniform array, we regard this problem as data least square fitting one, and estimate DOA by a proper direction vector fitting. Two theorems are proved to ensure the method not to cause ambiguity. The advantages of proposed method are discussed.

Citation Download Citation

Tiesheng Kong and Diannong Liang "Improving spatial spectrum analysis precision by least-square fitting method", Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); https://doi.org/10.1117/12.139401

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available