Iterative Channel Response Estimation for Wireless Receivers
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Solution Overview
Problem
Conventional receiver technologies face challenges in accurately estimating channel response and impairment correlations, especially when interference is severe, leading to interdependencies that affect signal processing in wireless communication systems.
Innovation Solution
Iterative calculation of channel response and impairment correlation estimates using a parametric approach, where a baseband processor calculates revised estimates based on initial correlations and measured channel responses, refining parameters through multiple iterations to improve accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional parametric modeling is used to estimate impairment correlations, then the estimation process is simplified, but accuracy deteriorates when interference is severe due to interdependencies between impairment correlations and channel response
Solution Approach 1:
The patent implements an iterative feedback mechanism where channel response estimates are used to update impairment correlation estimates, which in turn are used to refine channel response estimates. This closed-loop feedback process continues until convergence, allowing the system to account for interdependencies between impairment correlations and channel response, thereby improving estimation accuracy in severe interference conditions while maintaining manageable complexity through systematic iteration.
2Measurement precision
If iterative calculation is performed to account for interdependencies, then parameter estimation accuracy improves, but computational complexity increases
Solution Approach 1:
The patent employs dynamic iterative calculation where the estimation process adapts its complexity based on convergence criteria. The system performs multiple iterations of joint channel response and impairment correlation estimation, dynamically adjusting the number of iterations and computational effort based on whether convergence thresholds are met. This allows the system to achieve high accuracy when needed while avoiding unnecessary computational overhead when fewer iterations suffice.
Data Source
AI summary
Channel response and impairment correlation estimates are iteratively determined. According to one embodiment of performing channel estimation for use in received signal processing, a channel response estimate is calculated based on an initial impairment correlations estimate and a measured channel response derived from a received signal. A revised impairment correlations estimate is calculated using a parametric approach based on the channel response estimate and the channel response estimate is recalculated based on the revised impairment correlations estimate. According to one embodiment of a wireless communication device, the device comprises a parameter estimation unit configured to iteratively calculate a medium channel response estimate based on a parametric impairment correlations estimate and a measured net channel response derived from a received signal. The wireless communication device also comprises circuitry configured to control how many times the parameter estimation unit calculates the medium channel response estimate.