Transmitter Equalizer Optimization via Search Grid
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Solution Overview
Problem
As electronic devices increase in processing speed, the speed of communication between them also increases, making it difficult to physically control signal transmission speeds, which often requires additional space or power consumption for signal processing techniques, increasing costs and limiting applications due to heat or power budgets.
Innovation Solution
A system that efficiently searches for optimal equalizer settings using a two-dimensional search grid to condition signals, allowing a transmitter to adjust its settings based on signal quality metrics received from a receiver, minimizing power consumption and avoiding exhaustive searches for optimal solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If signal processing techniques are used to compensate for limiting physical parameters, then signal transmission quality is improved, but additional space or power consumption is required
Solution Approach 1:
The patent changes the parameters of the equalizer by adjusting tap weights and filter coefficients dynamically. The system varies equalizer settings across different operating conditions to optimize signal quality while minimizing power consumption, avoiding fixed parameter configurations that would require excessive processing power.
Solution Approach 2:
The equalizer settings are made dynamic rather than static. The system adapts equalizer parameters in real-time based on channel conditions and signal characteristics, allowing it to achieve optimal performance with minimal power consumption by only processing when necessary and adjusting to changing conditions.
2Reliability
If signal processing techniques are used to compensate for limiting physical parameters, then signal transmission quality is improved, but additional space is required
Solution Approach 1:
The equalizer is designed to perform multiple functions within a single integrated structure. It simultaneously compensates for various channel impairments (attenuation, distortion, interference) using a unified set of adjustable parameters, eliminating the need for separate processing circuits for each type of compensation.
Solution Approach 2:
Rather than adding physical components to handle different signal conditions, the system achieves versatility by changing the parameters of existing equalizer components. This allows a single compact structure to adapt to various transmission scenarios through parameter adjustment rather than physical reconfiguration.
3Reliability
If exhaustive search is used to find optimal equalizer settings, then signal quality optimization is achieved, but time and computational resources are wasted
Solution Approach 1:
The system performs preliminary actions by pre-calculating or pre-establishing equalizer settings based on known channel characteristics or training sequences. This preliminary configuration provides a good starting point that is close to optimal, reducing the time needed for fine-tuning and eliminating the need for exhaustive searches.
Solution Approach 2:
The equalizer optimization uses feedback mechanisms where the system evaluates signal quality metrics and adjusts settings iteratively based on measured performance. This feedback-driven approach converges to optimal settings much faster than exhaustive search by using gradient information and adaptive algorithms to guide the search direction.
Data Source
AI summary
A transmitter includes an equalizer for conditioning a data signal in response to a first and a second equalizer setting. The first and second equalizer settings are both associated with a selected point on a two-dimensional search grid. The search grid includes a first equalizer setting and a second equalizer setting for each point on the search grid. The transmitter transmits a data signal across a first channel medium using settings associated with a selected point on the search grid. A receiver analyzes the received signal from the transmitter to determine a signal quality metric. The search grid is used to select settings from neighboring points to produce signals that are evaluated to produce signal quality metrics. The results of the evaluations are used to efficiently search the search grid for optimum equalizer settings for the transmitter.