Wireless Receiver Filter Adaptation for Mixed Data Types
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Solution Overview
Problem
In wireless receiver systems, efficiently filtering mixed data types such as circuit switched and packet switched data within the same frame is challenging due to differing filtering requirements, and existing methods face issues with filter switching times exceeding guard band durations.
Innovation Solution
The solution involves dynamically changing the filter coefficients of digital filters based on the type of incoming data, allowing for rapid filtering adjustments without disrupting the signal processing path, using a combination of analog and digital decimation filters to accommodate different data types within the same frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If filter switching is performed to accommodate different data types, then filtering adaptability is improved, but filter switching time exceeds guard band duration causing signal disruption
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing filter coefficients for different data types before they are needed. When a data type change is detected, the pre-computed coefficients are immediately loaded into the filter, eliminating the need for time-consuming real-time coefficient calculation during the guard band period.
Solution Approach 2:
The patent implements dynamics by making the filter coefficients dynamically adjustable based on the detected data type. The system transitions from static filter configuration to dynamic reconfiguration by selecting from multiple pre-computed coefficient sets, allowing the filter to adapt its characteristics to match the current data type requirements.
2Productivity
If filter response is changed to process different data types, then data processing efficiency is improved, but filter settling time disrupts signal continuity
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing filter coefficients for different data types before they are needed. When a data type change is detected, the pre-computed coefficients are immediately loaded into the filter, eliminating the need for time-consuming real-time coefficient calculation during the guard band period.
Solution Approach 2:
The patent applies beforehand cushioning by using the guard band period to prepare and load the next set of filter coefficients before the actual data type change occurs. This ensures that when the new data type arrives, the filter is already configured and settled, preventing signal disruption.
3Measurement precision
If separate filtering paths are used for different data types, then filtering precision is improved, but system complexity increases
Solution Approach 1:
The patent applies merging by combining multiple filter configurations into a single filter unit. Instead of implementing separate physical filtering paths for different data types, the system uses one filter with multiple pre-computed coefficient sets that are selected based on the data type, thereby maintaining filtering precision while reducing system complexity.
Solution Approach 2:
The patent applies universality by designing a single filter that can perform multiple filtering functions by switching between different coefficient sets. This multi-functional approach allows the same filter hardware to be optimized for different data types (circuit-switched, packet-switched, etc.) without requiring separate dedicated filters for each type.
Data Source
AI summary
A technique includes receiving data that is communicated in a frame over a wireless network and processing the data through a filter. A response of the filter is changed during the processing.