Parameter estimation method and system for cross-field ultrahigh frequency wireless channel
By constructing a single-input multiple-output (SIMO) cross-field model and combining it with the Bayesian information criterion, the deviation problem of ultra-high frequency terahertz channel parameter estimation methods in near-field and far-field coexistence environments is solved, and the accurate differentiation and parameter estimation of multipath components are achieved, thereby improving the reliability of the channel model and the accuracy of parameter estimation.
Patent Information
- Application Number
- CN202610060966.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-16
- Publication Date
- 2026-04-10
AI Technical Summary
Existing UHF terahertz channel parameter estimation methods cannot adapt to cross-field propagation environments where near-field and far-field coexist, resulting in excessive parameter estimation deviations or failures, making it difficult to meet the reliable operation requirements of UHF terahertz communication systems.
By capturing channel response data and eliminating equipment interference, a single-input multiple-output (SIMO) cross-field model is constructed. The channel transfer function (CTF) is decomposed into the superposition of near-field and far-field multipath components. Initial parameters are extracted using the maximum likelihood criterion and the narrowband far-field assumption. The multipath component category is determined by the Bayesian information criterion. Finally, the parameter estimation is performed using an adaptive model.
It achieves accurate differentiation and parameter calculation of multipath components across fields, significantly reduces estimation bias, improves the reliability of channel models, and provides key support for the stable operation of ultra-high frequency terahertz communication systems.