Joint Transmitter Receiver Pulse-Shaping Filter Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for designing transmitter and receiver pulse-shaping filters lack flexibility in trading off performance characteristics, often optimizing for one aspect at the expense of others, such as peak-to-average ratio and inter-symbol interference, which can limit system performance.
Innovation Solution
A method for jointly designing transmitter and receiver pulse-shaping filters that allows for performance trade-offs by defining specific variables and constraints, such as peak-to-average ratio and adjacent channel interference, and optimizing filter coefficients using a cost function while meeting these constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transmitter pulse-shaping filter is designed to meet spectral mask, then spectral compliance is improved, but peak-to-average ratio increases
Solution Approach 1:
The patent combines transmitter and receiver filter design into a single joint optimization process. Instead of designing filters separately in two stages, the invention formulates a unified cost function that simultaneously considers both transmitter spectral compliance and receiver performance, allowing the system to find optimal filter coefficient pairs that balance spectral mask requirements with peak-to-average ratio constraints.
Solution Approach 2:
The invention changes the optimization parameters from separate stage designs to joint filter coefficients. By formulating the problem in terms of joint transmitter-receiver filter coefficients and defining a composite cost function that includes both spectral compliance metrics and peak-to-average ratio metrics, the system can directly optimize for multiple competing objectives simultaneously.
2Object-affected harmful factors
If receiver pulse-shaping filter is designed to suppress interference, then interference suppression is improved, but system complexity increases
Solution Approach 1:
The patent merges the transmitter and receiver filter design processes into a single joint optimization framework. This unified approach allows the system to co-optimize interference suppression performance with transmitter spectral compliance, finding filter coefficient combinations that achieve both goals simultaneously rather than requiring separate complex design stages.
Solution Approach 2:
The joint optimization framework serves multiple functions simultaneously: it optimizes for spectral compliance, minimizes peak-to-average ratio, and suppresses interference. The unified cost function and optimization process provide a multi-functional design tool that addresses multiple performance requirements in a single systematic approach, reducing overall design complexity.
3Adaptability or versatility
If joint optimization is applied, then performance trade-offs are improved, but computational complexity increases
Solution Approach 1:
The invention changes the optimization parameters to include joint transmitter-receiver filter coefficients and defines a composite cost function that incorporates multiple performance metrics. This parameter transformation enables systematic exploration of performance trade-offs through a unified mathematical framework, making the complex multi-objective optimization problem tractable through structured cost function evaluation.
Data Source
AI summary
A method for jointly designing a transmitter pulse-shaping filter and a receiver pulse-shaping filter having respective filter coefficients includes defining one or more performance-related variables based on at least some of the filter coefficients of the transmitter and receiver pulse-shaping filters. One or more constraints applicable to one or more of the filter coefficients and variables are set. A cost function defined over the variables is evaluated. Optimized filter coefficient values of the transmitter and receiver pulse-shaping filters are jointly calculated by applying an optimization process to the cost function while meeting the one or more constraints.