Float-Number Sample Decimation for Accurate Low-Power Sensing
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Solution Overview
Problem
Current methods for decimating samples of continuous signals in wireless devices face challenges in balancing sampling frequency and power consumption, as integer-based decimation either reduces accuracy or increases power consumption, failing to meet the requirements for accurate measurements and battery duration.
Innovation Solution
A method and device for decimating samples using a float number, which involves determining intermediate samples through interpolation, filtering to remove specific frequencies, and using a polyphase filter to achieve accurate data transmission while reducing power consumption by optimizing the decimating coefficient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sampling frequency is increased to improve measurement accuracy, then the accuracy of reconstructed measurements is improved, but the power consumption of the transmitter increases
Solution Approach 1:
The patent applies dynamics by making the decimation factor adjustable and adaptive rather than fixed. The system can dynamically change the decimation factor based on signal characteristics and power availability, allowing optimization between measurement accuracy and power consumption at different operating conditions.
Solution Approach 2:
The patent changes the parameter of decimation from integer-only to float-based, enabling continuous adjustment of the decimation factor. This parameter change allows fine-tuning of the sampling rate to achieve optimal balance between accuracy and power consumption, rather than being constrained to discrete integer values.
2Use of energy by moving object
If the decimation factor is increased to reduce power consumption, then the power consumption of the device is reduced, but the accuracy of reconstructed measurements deteriorates
Solution Approach 1:
The system dynamically adjusts the decimation factor based on signal characteristics and power requirements. By making the decimation process adaptive rather than static, the system can maintain measurement accuracy while optimizing power consumption according to actual operating conditions.
Solution Approach 2:
The patent introduces float-based decimation factors that allow continuous parameter adjustment. This enables precise control over the decimation level, allowing the system to find optimal values that maintain accuracy while minimizing power consumption, rather than being limited to coarse integer steps.
3Measurement precision
If the decimation factor is decreased to improve measurement accuracy, then the accuracy of reconstructed measurements is improved, but the power consumption increases
Solution Approach 1:
The patent enables continuous parameter adjustment of the decimation factor using float values. This allows the system to precisely tune the decimation level to achieve the minimum necessary sampling rate for acceptable accuracy, thereby minimizing power consumption while maintaining required measurement quality.
4Device complexity
If integer-based decimation is used to simplify processing, then the computational complexity is reduced, but the ability to optimize the balance between accuracy and power consumption is limited
Solution Approach 1:
The patent changes the decimation parameter from discrete integer values to continuous float values. This enables fine-grained adjustment of the decimation factor to precisely optimize the balance between accuracy and power consumption, providing much greater flexibility while maintaining computational efficiency.
Data Source
AI summary
The device (8) for decimating samples of a continuous signal by a float number. The device includes interpolating means (11) configured to determine intermediate samples. A determining means (12) is configured to determine intermediate set of samples comprising the samples and the intermediate samples. A filtering means (13) is configured to filter the intermediate set of samples to determine one final value from an odd number of consecutive samples of the intermediate set of samples and to remove frequencies below a first cut-off frequency (F3) equal to the predetermined sampling frequency divided by two within a predetermined tuning value.