Receiver Filtering for Intersymbol Interference
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Solution Overview
Problem
Existing receivers face challenges in accurately decoding symbols due to intersymbol interference and channel distortion, leading to reduced signal reliability and increased power consumption.
Innovation Solution
A receiver system that employs a dual-filter approach, where a first filter generates an initial estimation of a symbol, and a second filter with more taps or higher complexity is applied only when the initial estimation fails to meet a threshold, thereby optimizing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single complex filter with more taps is used to compensate for intersymbol interference, then the accuracy of symbol decoding is improved, but the power consumption increases
Solution Approach 1:
The filter is divided into two separate filters: a first filter with fewer taps for initial symbol estimation, and a second filter with more taps for enhanced equalization. This segmentation allows the system to use the simpler first filter for most symbols, reducing overall power consumption, while still providing the option to apply the more complex second filter when needed to maintain decoding accuracy.
Solution Approach 2:
Instead of applying full equalization with the complex second filter to all symbols, the system applies partial equalization using the simpler first filter for symbols that meet the threshold criterion. The complex second filter is applied only partially to symbols that fail the threshold test, achieving sufficient equalization for most symbols without the excessive power consumption of universal complex filtering.
2Use of energy by moving object
If a single simple filter with fewer taps is used, then the power consumption is reduced, but the accuracy of symbol decoding deteriorates
Solution Approach 1:
The system dynamically selects which filter to apply to each symbol based on a threshold criterion. The decision circuit evaluates whether the received signal meets a threshold condition, and this dynamic decision determines whether the simple first filter or the complex second filter is applied. This dynamic adaptation ensures power consumption is minimized while maintaining decoding accuracy for challenging symbols.
Solution Approach 2:
The system uses feedback from the threshold evaluation to control filter selection. The decision circuit continuously monitors the received signal against the threshold criterion and uses this feedback to determine the appropriate filtering strategy for each symbol, ensuring optimal balance between power consumption and decoding accuracy.
3Measurement precision
If a dual-filter system is implemented, then the accuracy of symbol decoding is improved by applying additional equalization when needed, but the device complexity increases
Solution Approach 1:
The filtering function is segmented into two distinct filter structures with different complexities. The first filter serves as the primary equalizer for most symbols, while the second filter provides enhanced equalization only when required. This segmentation of the equalization function reduces overall device complexity compared to using a single complex filter for all symbols.
Solution Approach 2:
The first filter with fewer taps serves a universal role as the primary equalizer for the majority of symbols. The second filter with more taps serves as a supplemental equalizer that is activated only when the threshold criterion is not met. This multi-functional arrangement allows the simpler first filter to handle most cases, reducing the need for complex circuitry while maintaining the capability to handle difficult symbols.
Data Source
AI summary
A receiver may include a first filter configured to generate a first estimation of a symbol of a received signal and a second filter configured to generate a second estimation of the symbol of the received signal. The receiver may also include a decoder configured to decode the symbol using one of the first estimation and the second estimation and a decision circuit configured to select one of the first estimation and the second estimation to provide to the decoder for decoding of the symbol based on a comparison of the first estimation to an estimation threshold.