Title :
A novel blind estimation algorithm
Author :
Lai, Wai-Kuen ; Ching, P.C.
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
fDate :
7/1/1997 12:00:00 AM
Abstract :
In this paper, we propose a cumulant-based blind signal estimation algorithm for estimating the channel matrix in an n-sensor m-source system. The only available information is the output of the n sensors. The algorithm first deduces the number of sources, which may be greater than or equal to the number of sensors, from the output cumulant matrix. Then, by suitably arranging the elements within that matrix, the entries of the original channel matrix are estimated row by row. Simulations results are given to illustrate the performance of the algorithm
Keywords :
array signal processing; estimation theory; higher order statistics; matrix algebra; blind estimation algorithm; channel matrix; cumulant-based blind signal estimation algorithm; n-sensor m-source system; output cumulant matrix; performance; simulations; Additive noise; Covariance matrix; Estimation; Gaussian noise; Narrowband; Partitioning algorithms; Sensor arrays; Sensor phenomena and characterization; Signal processing algorithms; Signal resolution;
Journal_Title :
Signal Processing, IEEE Transactions on