Backend
Ghost Target Elimination in 5G Reference Signals ISAC via Multi-static Multilateration
arXiv eess.SP0 views
arXiv:2611.06236v1 Announce Type: new Abstract: Integrated Sensing and Communication (ISAC) systems can reuse 5G New Radio (NR) reference signals to enable joint communication and environmental sensing. Among these signals, the Positioning Reference Signal (PRS) is particularly suitable for range and Doppler estimation. However, its comb structure introduces periodic ambiguities that generate ghost targets. Existing solutions resolve these ambiguities by combining PRS with additional signals such as the DeModulation Reference Signal (DMRS), which increases sensing overhead. This paper proposes a PRS-only sensing framework that resolves ambiguities using multi-static observations. Instead of removing ghosts locally at each receiver, the proposed method exploits spatial diversity and performs ambiguity resolution at a fusion anchor. The anchor jointly estimates target locations and ambiguity indices via multilateration across multiple sensing nodes. This approach eliminates the need for additional reference signals while maintaining low receiver complexity. Simulation results show that the proposed method reliably resolves ghost targets and achieves superior detection performance compared to benchmark methods across various scenarios, while significantly enhancing resource efficiency by enabling sensing using PRS-only transmissions.
Source:https://arxiv.org/abs/2611.06236PreviousOne ISAC Array, Two Worst Cases: Hardware Impairments in Beamforming and AoA EstimationNextInterference-Aware Instantaneous Frequency and Amplitude Estimator for Multicomponent Signals
Related posts
How to let Claude Code and Codex talk directly across two computers without copy-pasting logs
0dev.to
Why Is There a Delay When I’m Typing? (I Tested the Bottlenecks So You Don’t Have To)
0dev.to

Moving City GIS Into Unreal Engine: Coordinate Systems, LOD, and the Boring Parts
0dev.to
My AI Agent Said 'Done.' It Wasn't. A Field Guide to Trusting Nothing an Agent Tells You
0dev.to
Bridging Context and Execution: An Engineering Assessment of Connected AI Workflows
0dev.to
把 AI CLI 包成 OpenAI 相容 API:從 stdin、JSON 輸出到逾時處理(附可跑範例)
0dev.to