MATHEMATICAL ANALYSIS OF MULTI-SENSOR CROSS-CORRELATION PROCESSING FOR SOURCE LOCALIZATION

Authors
  1. Price, M.A.
Corporate Authors
Defence Research Establishment Atlantic, Dartmouth NS (CAN);Price (M A), Windsor Junction NS (CAN)
Abstract
The work examines source localization by passive means when signals from multiple sensors are available. Each of the two localization techniques presented search over a grid of hypothesized source locations to find the location that best explains the observed measurement. The first technique finds the test location that yields the greatest cross-correlation sum. This sum comprises weighted values of the correlations obtained at time delays at which the hypothesized location would induce a peak. Variants of the technique allow for multipath to be handled under both coherent and incoherent assumptions. The second technique uses Time Differences of Arrival (TDOA) between signal reception at multiple sensors. It minimizes the square of the error between the observed delays and those that a source at the hypothesized location would produce. TRUNCATED
Report Number
DREA-CR-89-433 — Contractor Report
Date of publication
15 Nov 1989
Number of Pages
48
DSTKIM No
91-00427
CANDIS No
67646
Format(s):
Hardcopy;Originator's fiche received by DSIS

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