Title :
Detection and estimation in non-stationary environments
Author :
Toolan, Timothy M. ; Tufts, Donald W.
Author_Institution :
Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
Abstract :
In this paper we describe a matrix based method for estimating both a signal subspace dimension as well as signal parameters when one has an array of sensors, multiple exponential signals, and significant signal changes after a small number of snapshots. This method combines the technique of creating Hankel or Toeplitz matrices from single-channel data with methods for sensor-array processing using multiple array snapshots.
Keywords :
Hankel matrices; Toeplitz matrices; array signal processing; parameter estimation; signal detection; Hankel matrices; Toeplitz matrices; multiple array snapshots; nonstationary environments; sensor-array processing; Frequency estimation; Interference; Parameter estimation; Sensor arrays; Sensor phenomena and characterization; Signal processing; Signal processing algorithms; Signal to noise ratio; Testing; Vectors;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN :
0-7803-8104-1
DOI :
10.1109/ACSSC.2003.1292023
