Dynamic Pulse-Shaping Filter Adjustment for Spectral Efficiency
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Solution Overview
Problem
Existing communications methods and systems are overly power hungry and spectrally inefficient, failing to effectively manage non-linearity and inter-symbol interference (ISI) in communication channels.
Innovation Solution
A system and method for dynamic filter adjustment in highly spectrally efficient communications, utilizing partial response pulse shaping filters and adaptive equalization techniques to optimize filter configurations in real-time, allowing for substantial ISI and improved tolerance of non-linearity, thereby enhancing spectral efficiency and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional fixed filter configurations are used, then device complexity is reduced, but spectral efficiency deteriorates and power consumption increases
Solution Approach 1:
The patent implements dynamic filter adjustment where filter coefficients are continuously adapted based on channel conditions. The filter transitions from a static configuration to a dynamic one that responds to changing spectral environments, allowing optimal spectral efficiency while managing complexity through adaptive algorithms.
Solution Approach 2:
The patent changes filter parameters (coefficients, tap weights) dynamically based on channel state information. By adjusting these parameters in response to spectral conditions, the system achieves high spectral efficiency without requiring complex manual configuration, as the parameters self-optimize through adaptation.
2Productivity
If conventional communications methods are used, then power consumption is high, but spectral efficiency is poor
Solution Approach 1:
The patent dynamically adjusts filter parameters to optimize spectral efficiency, which enables more efficient data transmission within the same bandwidth. This reduces the need for retransmissions and improves overall system throughput, thereby reducing power consumption per bit transmitted.
Solution Approach 2:
The patent employs adaptive equalization with feedback mechanisms that monitor channel conditions and adjust filter coefficients accordingly. This feedback loop enables the system to maintain optimal performance in varying conditions, improving spectral efficiency and reducing power waste from inefficient transmissions.
3Reliability
If filter adjustment is implemented to handle non-linearity and ISI, then communication performance improves, but device complexity increases
Solution Approach 1:
The patent implements self-adjusting filter mechanisms that automatically adapt to channel conditions without external intervention. The filter uses embedded algorithms to monitor and correct for non-linearity and ISI effects, improving reliability while keeping the adjustment mechanism integrated and relatively simple rather than requiring external complex control systems.
Data Source
AI summary
A method and system for dynamic configuring of one or both of a transmitter pulse-shaping filter and a receiver pulse-shaping filter to generate a total partial response that incorporates a predetermined amount of inter-symbol interference (ISI). The predetermined amount of ISI is determined based on an estimation process during extraction of data from an output of the receiver pulse-shaping filter, such that performance of total partial-response-based communication matches or surpasses performance of communication incorporating filtering based on no or near-zero ISI. The reconfiguring may comprise obtaining data relating to changes affecting one or more of: the pulse-shaping filtering, and a channel and/or an interface used in the communication of data based on the total partial response, and adjusting the filter configuration, such as by determining a new optimized filtering configuration or changes to existing configurations (e.g., by applying a filtering optimization process).