The paper presents a novel measurement preprocessing technique to enhance the performance of conventional Kalman-filter-based tracking algorithms. Received measurements are preprocessed, based on a maximum-likelihood estimation approach. Simulation results show the superior performance of this approach both in clean and cluttered environment.
|Original language||English (US)|
|Number of pages||8|
|Journal||IEE Proceedings: Radar, Sonar and Navigation|
|State||Published - Jun 1 1994|
ASJC Scopus subject areas
- Computer Networks and Communications