Accession Number : ADA304817
Title : Data-Fusion: Performance Enhancement Via Resolution Cell Processing.
Descriptive Note : Final rept. Jul 93-Aug 95,
Corporate Author : CONNECTICUT UNIV STORRS
Personal Author(s) : Rago, Constantino ; Willett, Peter
PDF Url : ADA304817
Report Date : NOV 1995
Pagination or Media Count : 70
Abstract : This report discusses the resolution cell grid topological connectedness as understood by a plurality of sensors. This is a data fusion obstacle ignored by previous multisensor fusion treatments. This connectedness, if properly considered, can provide enhanced resolution. The noncoherent case draws attention to the sort of processing necessary when multiplatform fusion is used. The problem is described and analyzed for both the static and dynamic cases. Since performance gains depend on the fusion rule used, pre-detection fusion rules are developed. 'Same-sensor' fusion makes use of the complementary features, detection, and resolution of long and short pulses. This teaming approach appears very promising. If different single sensor pulses are fused, then coherent processing is possible. A pair of different complementary pulses is transmitted abutted in the time domain and the returns optimally fused. Combined constant frequency and linearly frequency modulated pulses are treated, and order magnitude tracking error reduction over isolated single pulse performance is demonstrated.
Descriptors : *TRACKING, *DATA FUSION, *TARGET DETECTION, OPTIMIZATION, GRIDS, RESOLUTION, FREQUENCY MODULATION, COHERENCE, ISOLATION, INCOHERENCE, TIME DOMAIN, MULTISENSORS, SHORT PULSES.
Subject Categories : Target Direction, Range and Position Finding
Distribution Statement : APPROVED FOR PUBLIC RELEASE