WCDMA Channel Estimation Reducing Workload via De-convolution
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Solution Overview
Problem
In WCDMA systems, channel estimation with sample deviation affects demodulation performance, especially in high-order modulation modes, due to the large operation workload required for interpolation at each sampling point.
Innovation Solution
A channel estimating method and device that performs multi-path searching, interpolation, and raised cosine de-convolution to eliminate sample deviation, reducing operation workload and improving demodulation performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If interpolation is performed at each sampling point to estimate channel values at optimal timing, then channel estimation accuracy is improved, but operation workload increases significantly
Solution Approach 1:
The patent divides the channel estimation process into two stages: first performing interpolation only at radial positions corresponding to multi-path components (reducing the number of interpolation points), then performing raised cosine de-convolution to eliminate sample deviation. This segmentation reduces operation workload while maintaining accuracy.
Solution Approach 2:
The patent performs multi-path searching and interpolation at radial positions before the final channel estimation. By preliminarily identifying multi-path components and performing interpolation only at these critical positions, the system reduces overall operation workload while preparing accurate channel estimation values for subsequent de-convolution.
2Measurement precision
If sampling frequency is increased to capture signal details, then signal sampling accuracy is improved, but operation workload for processing increases
Solution Approach 1:
The patent changes the approach from processing all sampling points to processing only at radial positions corresponding to multi-path components. By adjusting which sampling points are processed (parameter selection) rather than increasing sampling frequency, the system maintains signal accuracy while reducing processing workload.
Data Source
AI summary
A channel estimating method and device are provided. The method includes: performing multi-path searching on a pilot channel, and performing interpolation on a channel estimation value at a radial position of the multi-path searching (101); performing raised cosine de-convolution on the channel estimation value that undergoes the interpolation (102); acquiring the channel estimation value at each radial position in the pilot channel according to the channel estimation value that undergoes the raised cosine de-convolution and a sample deviation acquired by performing the multi-path searching (103). The channel estimating method and device eliminate the sample deviation of the channel estimation value, improve the demodulation performance, and evidently reduce the operation workload.