Abstract
We present three algorithms for joint estimation of source angles and sensor gains and phases. These algorithms are based on the principles of weighted noise subspace fitting (WNSF), conditional maximum likelihood, and unconditional maximum likelihood. We study the statistical performances of the three algorithms assuming the source angles are known. The WNSF algorithm with an optimum weight is shown to be statistically the most efficient among the three and is implementable in an iterative quadratic fashion.
| Original language | English |
|---|---|
| Pages (from-to) | 274-278 |
| Number of pages | 5 |
| Journal | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Volume | 1 |
| Publication status | Published - 1998 |
| Externally published | Yes |
| Event | Proceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA Duration: 2 Nov 1997 → 5 Nov 1997 |