Unscented Kalman Filter Based Spatial-Temporal Registration Approach for Mobile Radar and ESM Sensors

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Authors
  1. Zhou,Y
  2. Li , W.
  3. Leung, H.
Corporate Authors
Defence R&D Canada - Ottawa, Ottawa ONT (CAN);Calgary Univ, Calgary Alta (CAN) Dept of Electrical and Computer Engineering
Abstract
Space and time alignments are prerequisites for the successful fusion of multiple sensors. In this report, a space-time registration model is proposed for estimating the system biases and performing time synchronization for mobile radar and electronic support measure (ESM) systems. A space-time registration model for radar and ESM sensors is first developed, and an unscented Kalman filter (UKF) is proposed to estimate the space-time biases and target states simultaneously. The posterior Cramer-Rao bounds (PCRBs) are derived for the proposed UKF registration algorithm for ESM detection probability less than or equal to one. Theoretical analysis is performed for evaluating the accuracy and robustness of the proposed algorithm. Computer simulations are used to demonstrate the effectiveness and robustness of the proposed algorithm under different radar and ESM tracking scenarios.

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Keywords
ESM sensor;Registration;UKF (Unscented Kalman Filter);Detection and estimation;Mobile sensor;Sensor fusion
Report Number
DRDC-OTTAWA-TR-2003-219 — Technical Report
Date of publication
01 Dec 2003
Number of Pages
52
DSTKIM No
CA023533
CANDIS No
520864
Format(s):
Hardcopy;Electronic Document(PDF)

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