AI & ML
3GPP-Compatible Long-Range Sensing for LEO-ISAC: A Window-Grid Processing Framework
arXiv math.IT0 views
arXiv:2609.30653v4 Announce Type: replace Abstract: This paper addresses long-range sensing in bistatic low-Earth-orbit integrated sensing and communication (LEO-ISAC). Conventional OFDM sensing fails in LEO-ISAC because millisecond-scale propagation delays destroy the transmitter--receiver symbol alignment and, with multiple targets, make the receive window longer than the transmitted block. We propose a window-grid (WG) processing framework that exploits the known beam-intersection swath to resolve both problems purely at the receiver, leaving the 3GPP symbol structure unmodified: the swath delay span is folded into cyclic-prefix-sized slices, each handled by one WG. With 103.2 MHz bandwidth at bistatic ranges beyond 640 km, simulations demonstrate meter-level ranging of two targets, and 1000 Monte-Carlo trials over random target--satellite geometries show that, with an ephemeris-based satellite-selection rule, every target is detected with a 90th-percentile range error of 2.4 m.
Source:https://arxiv.org/abs/2609.30653PreviousOn the Power Distance Representation of Bregman DivergencesNextShift-Invariant Permutations with Polynomial Composition: Construction and Algebraic Structure
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