An Improved DOA Estimation Algorithm for Circular and Non-Circular Signals with High Resolution
Liangtian Wan, Lihua Xie

TL;DR
This paper introduces an enhanced DOA estimation algorithm capable of accurately estimating circular, maximal non-circular, and common non-circular signals, significantly improving resolution performance.
Contribution
The proposed algorithm uniquely estimates all three types of signals by leveraging non-circularity properties, surpassing existing methods limited to maximal non-circular and circular signals.
Findings
Effective in estimating various non-circular signals
Improves resolution among different signal types
Simulation confirms superior performance
Abstract
In this paper, an improved direction-of-arrival (DOA) estimation algorithm for circular and non-circular signals is proposed. Most state-of-the-art algorithms only deal with the DOA estimation problem for the maximal non-circularity rated and circular signals. However, common non-circularity rated signals are not taken into consideration. The proposed algorithm can estimates not only the maximal non-circularity rated and circular signals, but also the common non-circularity rated signals. Based on the property of the non-circularity phase and rate, the incident signals can be divided into three types as mentioned above, which can be estimated separately. The interrelationship among these signals can be reduced significantly, which means the resolution performance among different types of signals is improved. Simulation results illustrate the effectiveness of the proposed method.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDirection-of-Arrival Estimation Techniques · Speech and Audio Processing · Blind Source Separation Techniques
