Dynamic Channel Estimation via Equalized Output Parameter Extraction
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Solution Overview
Problem
Conventional digital receiver systems face challenges in dynamic channel estimation due to merged pre-processing and channel equalization, particularly when frequency-domain processing is combined with time-domain channel estimation, leading to difficulties in regenerating the expected input signal and increased processing complexity.
Innovation Solution
The system performs sub-level channel estimation using an open-loop process with the incoming signal, treating the signal path from the transmitter output to the dynamic equalizer's output as an extended channel, and updates channel parameters by combining pre-existing and newly estimated parameters through convolution, with rate and domain conversions as needed, to maintain processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If de-convolution is applied to regenerate input signal for channel estimation, then channel estimation can be performed, but processing complexity increases and hardware power consumption increases
Solution Approach 1:
The patent extracts and processes only the essential channel parameters (FIR filter coefficients) directly from the equalized output signal, rather than attempting to perform full de-convolution to recover the complete input signal. This selective extraction approach maintains channel estimation accuracy while significantly reducing processing complexity and hardware requirements.
Solution Approach 2:
The patent segments the channel estimation process into independent parameter extraction operations, where specific channel parameters are obtained separately from the equalized output. This segmentation allows each parameter to be processed independently with simpler operations, avoiding the need for complex full-signal de-convolution while maintaining estimation reliability.
2Reliability
If de-convolution is applied to regenerate input signal for channel estimation, then channel estimation can be performed, but hardware power consumption increases
Solution Approach 1:
The patent extracts only the necessary channel parameters directly from the equalized output signal using simplified operations, avoiding power-intensive full de-convolution processing. This extraction approach maintains estimation accuracy while significantly reducing hardware power consumption.
3Productivity
If pre-processing and channel equalization are merged in frequency-domain, then processing efficiency improves, but input signal availability for channel estimation is lost
Solution Approach 1:
Instead of trying to recover the original input signal through de-convolution, the patent inverts the approach by directly extracting channel parameters from the equalized output signal. This inversion eliminates the need for input signal availability while maintaining channel estimation capability, preserving processing efficiency gains from merged frequency-domain operations.
Solution Approach 2:
The patent uses the equalized output signal itself as an intermediary to obtain channel parameters, rather than requiring the original input signal. This intermediary approach allows channel estimation to proceed using readily available signals from the merged processing path, maintaining efficiency while avoiding information loss.
Data Source
AI summary
Systems and methods are disclosed for dynamic channel estimation in a digital receiver by performing a dynamic equalization on an incoming signal to compensate for channel distortion; independently estimating one or more channel parameters for the dynamic equalization, wherein the one or more channel parameters track channel change; determining a convolution of the channel parameters and updating the parameters for the dynamic equalization for subsequent processing of incoming signal; and providing an equalized output from the digital receiver.