Maximum Likelihood Based ESM/Radar Track Association Algorithm in a New Modified Polar Coordinate

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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
Association of radar and ESM tracks is an important component for multisensormultitarget tracking systems. It is essential to the overall performance of a track fusion process. In this report, we present an ESM/track association algorithm in a new modified polar coordinate (MPC) system. The algorithm is based on a theoretical performance analysis of ESM/radar track association techniques in the MPC. Formulas for computing the correct and false association probabilities with and without state estimation biases are derived. We also discuss the effect of the number of observable states on association performance. The proposed algorithm uses a maximum likelihood (ML) algorithm for estimating the target states, of which the observable state estimates are subsequently used for the ESM/radar track association. Computer simulations are used to demonstrate the performance and improvement of the proposed ESM/radar track association method.

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Keywords
ESM sensor;radar;bearing-only tracking;Kalman, modified polar coordinate;maximum likelihood detection and;estimation;fusion;mobile sensor;tracking
Report Number
DRDC-OTTAWA-TM-2004-255 — Technical Memorandum
Date of publication
01 Dec 2004
Number of Pages
56
DSTKIM No
CA025575
CANDIS No
523305
Format(s):
CD ROM

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