Abstract
We first analyze the resolution performance of the Gerschgorin radii based source number detector proposed in [1] for independent closely-spaced plane waves. Based upon the analysis, we can easily verify the resolution threshold of the Gerschgorin radii based algorithm. For improvement of the detection performance, we then further propose a weighted Gerschgorin radii algorithm. With closed-form expressions and simulations, we find that the analyzed performances in terms of the number of sensors, the relative angular separation of emitters, and the signal-to-noise ratios can properly characterize their behaviors for source number detection.
| Original language | English |
|---|---|
| Pages (from-to) | 3053-3056 |
| Number of pages | 4 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 6 |
| Publication status | Published - 1996 Jan 1 |
| Event | Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA Duration: 1996 May 7 → 1996 May 10 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering
Cite this
}
Gerschgorin radii based source number detection for closely spaced signals. / Yang, Jar-Ferr; Wu, Hsien Tsai.
In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 6, 01.01.1996, p. 3053-3056.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Gerschgorin radii based source number detection for closely spaced signals
AU - Yang, Jar-Ferr
AU - Wu, Hsien Tsai
PY - 1996/1/1
Y1 - 1996/1/1
N2 - We first analyze the resolution performance of the Gerschgorin radii based source number detector proposed in [1] for independent closely-spaced plane waves. Based upon the analysis, we can easily verify the resolution threshold of the Gerschgorin radii based algorithm. For improvement of the detection performance, we then further propose a weighted Gerschgorin radii algorithm. With closed-form expressions and simulations, we find that the analyzed performances in terms of the number of sensors, the relative angular separation of emitters, and the signal-to-noise ratios can properly characterize their behaviors for source number detection.
AB - We first analyze the resolution performance of the Gerschgorin radii based source number detector proposed in [1] for independent closely-spaced plane waves. Based upon the analysis, we can easily verify the resolution threshold of the Gerschgorin radii based algorithm. For improvement of the detection performance, we then further propose a weighted Gerschgorin radii algorithm. With closed-form expressions and simulations, we find that the analyzed performances in terms of the number of sensors, the relative angular separation of emitters, and the signal-to-noise ratios can properly characterize their behaviors for source number detection.
UR - http://www.scopus.com/inward/record.url?scp=0029746350&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029746350&partnerID=8YFLogxK
M3 - Conference article
VL - 6
SP - 3053
EP - 3056
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
SN - 0736-7791
ER -