Wireless Reception System Multipath Channel Estimation
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Solution Overview
Problem
In digital signal broadcasting, accurately estimating the channel effect in multipath environments is challenging, leading to performance degradation and long waiting periods before correct image reception, especially when selecting the correct channel effect from multiple candidates is time-consuming.
Innovation Solution
A wireless reception system and method that performs an equalization process on a reference signal using candidate channel effects, selecting the optimal one most similar to the known signal to represent the multipath environment, reducing the complexity and time required for channel effect identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If extensive tests are performed to identify the correct channel effect from multiple candidates, then the accuracy of channel effect identification is improved, but the operation time and system complexity increase significantly
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing correlation values between the received signal and candidate channel effects before actual symbol boundary determination is needed. This allows the system to quickly retrieve and compare pre-computed correlation values during operation, significantly reducing the time required for channel effect identification without sacrificing accuracy.
Solution Approach 2:
The patent creates a simplified representation (copy) of the channel effect identification process by using correlation values as proxies for full signal analysis. Instead of performing extensive tests on the actual signal for each candidate channel effect, the system uses pre-computed correlation values that capture the essential characteristics, thereby reducing computational complexity and operation time while maintaining identification accuracy.
2Productivity
If correlation calculation is performed on summed signals in multipath environments, then symbol boundary identification is attempted, but the complexity and difficulty of detecting accurate boundaries increases with multipath complexity
Solution Approach 1:
The patent segments the channel effect identification process into separate components by evaluating each candidate channel effect independently using correlation values, rather than attempting to directly analyze the complex summed signal. This segmentation allows the system to break down the difficult task of identifying symbol boundaries in multipath environments into simpler, manageable steps of comparing pre-computed correlation values for each candidate.
Data Source
AI summary
A wireless reception system includes a reception module, a preliminary estimation module, an equalization module and a selection module. The reception module receives a reference signal and at least one input signal transmitted via a multipath environment. The reference signal is associated with a known signal unaffected by the multipath environment. The preliminary estimation module generates a plurality of candidate channel effects according to the at least one input signal. The equalization module performs equalization on the reference signal according to the candidate channel effects to generate a plurality of equalization results. From the equalization results, the selection module selects an optimal equalization result that is most similar to the known signal, and selects the candidate channel effect corresponding to the optimal equalization result to represent the multipath environment.