Publications [#66576] of Jeffrey L. Krolik

Papers Published

1. Niezgoda, G. H. and Krolik, J. and Plotkin, E., Broadband source localization in a slowly time-varying environment by multichannel Kalman filtering (1991), pp. 787 - 790, Victoria, BC, USA [PACRIM.1991.160858]
   (last updated on 2007/04/16)

   Abstract:
   An adaptive multichannel (AMC) strategy is generalized to operate in a nonstationary environment. A recursive means of generating cross spectral density matrix (CSDM) estimates is presented in terms of a Kalman filter formulation. The Kalman filter is derived from a multichannel (MC) extension of the scalar dynamic autoregressive (AR) model assuming a slowly time varying environment. This permits the use of a random walk model for the process dynamics. By exploiting the structural relationship between the state vector of the MC Kalman filter and its output mean squared error, a computationally efficient structure is formed. Simulation results are presented which show, under a randomly time-varying source location scenario, that the MC Kalman filter generates CSDM estimates which yield high-resolution bearing estimation performance.

   Keywords:
   Signal Filtering and Prediction - Kalman Filtering;Systems Science and Cybernetics - Time Varying Systems;Direction Finding Systems - Sensors;