How to Validate ISAC Target Detection, Classification and Tracking

ISAC Channel Emulation Toolset
+ ISAC Channel Emulation Toolset

Emulate Controlled and Repeatable ISAC Conditions

Integrated sensing and communication (ISAC) testing for target detection, classification and tracking — across applications such as traffic and security monitoring, drone detection, and smart-factory— requires channel models that capture communication paths, sensing echoes from desired targets, and environmental backscatter. This use case calls for building dynamic propagation scenarios so moving targets produce time-varying delay, Doppler, signal direction, path loss, multipath, and line-of-sight or non-line-of-sight transitions, and validating detection performance across the waveforms used by the system — from 5G NR OFDM to emerging 6G candidate waveforms— at selected 3GPP frequency bands and bandwidths.

Engineers then need to run each scenario through real-time RF channel emulation between the transmission-reception point (TRP) and the sensing and communication endpoints. Sensing devices can process in real-time sensing and communication signals coherently and monitor the sensing response. The final step is to evaluate target detection, classification and tracking while varying scenarios parameters.

Channel Emulation Solution for End-to-End ISAC Testing and Validation

Validating ISAC algorithms and systems for target detection, classification and tracking requires communication and sensing channels that model target echoes, backscatter, and dynamic propagation effects such as delay, Doppler, multipath, path loss, blockage, and interference. The Keysight solution combines, in a 3GPP-aligned toolset, the Channel Studio GCM Wireless Sensing Modeling Tool with PROPSIM real-time radio-frequency (RF) channel and target emulation to reproduce in the lab industry-relevant monostatic, bistatic and multistatic sensing scenarios with real hardware. The real-time emulation of hundred of real-world target radar cross section (RCS) patterns and micro-Doppler signatures in the lab, enables efficient evaluation of target detection, classification, and tracking under repeatable channel conditions, reducing costly field trials and accelerating development cycles towards 5G-Advanced and 6G.

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