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 requires channel models that represent both communication paths and sensing echoes from desired objects and environmental backscatter. Build the scenario with dynamic propagation so moving targets produce time-varying delay, signal direction, Doppler, path loss, multipath, and line-of-sight or non-line-of-sight transitions. Process sensing and communication signals coherently across the selected 3GPP frequency bands and bandwidths.

Run the scenario through real-time radio frequency (RF) channel emulation between the transmission-reception point (TRP) and the sensing and communication endpoints. Reproduce target echoes and backscatter, then vary range, mobility, blockage, interference, and other channel conditions while monitoring the sensing response. Evaluate target detection, classification and tracking as propagation delay, Doppler, multipath, signal direction, and environmental reflections change across the modeled scenario.

Channel Emulation Solution for ISAC Target Detection, Classification and Tracking 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 solution combines, in a 3GPP-aligned test framework, the Channel Studio GCM Wireless Sensing Modeling Tool with PROPSIM real-time radio-frequency (RF) channel and target emulation to reproduce monostatic or bistatic transmission-reception point and user-equipment scenarios with real hardware. Spatially consistent channel models represent moving targets and changing line-of-sight and non-line-of-sight conditions. Real-time echo and radar cross section emulation enables engineers to vary target and environmental responses while evaluating target detection, classification, and tracking under controlled 3GPP frequency-band and bandwidth conditions.

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