Bounds on SIMO and MIMO Channel Estimation and Equalization with Side Information
Journal of VLSI Signal Processing Systems
COD: Diversity-Adaptive Subspace Processing for Multipath Separation and Signal Recovery
Journal of VLSI Signal Processing Systems
Blind Channel Identification Based on Noisy Observation by Stochastic Approximation Method
Journal of Global Optimization
Blind identification and equalization of two-channel FIR systems in unbalanced noise environments
Signal Processing - Content-based image and video retrieval
| Hi-index | 35.68 |
The problem of blind identification of multiple finite impulse response (FIR) channels driven by a common input arises in a wide range of applications. It has received increasing attention in the signal processing community. A system of multiple FIR channels driven by an unknown input is said to be strictly identifiable if, in the absence of noise, the given channel outputs can only be realized by a unique (up to a constant) system impulse response and a unique input sequence. We show necessary and sufficient conditions for strict identifiability, and establish a connection among strict identifiability, a cross-relation-based (CR-based) identifiability and a Fisher information-based (FI-based) identifiability