Signal Processor Windowing for Noise Band Identification
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Solution Overview
Problem
The increasing popularity of WiFi leads to inter-system interference due to signals like Bluetooth and microwave oven signals in WiFi bands, making it challenging to accurately distinguish between signals and noise, which reduces spectrum usage efficiency.
Innovation Solution
A system comprising multiple antennae and receiver chains, with a signal processor that applies windowing in the frequency domain to identify noise bands by determining threshold values and merging results to transmit and receive signals outside noise spectral areas, using a sliding window and bandwidth thresholds to differentiate between signal and noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple antennae and receiver chains are used to improve signal detection accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system divides the signal processing task across multiple antennae and receiver chains, with each component handling a portion of the spectrum. The processor segments the analysis by applying windowing to different frequency positions and combining results from multiple signals, allowing parallel processing that improves detection accuracy while managing complexity through modular architecture
Solution Approach 2:
The system merges windowing results from multiple signals received through different antennae at corresponding window frequency positions. By combining these results and comparing against thresholds, the system achieves improved signal detection accuracy through collaborative processing of multiple receiver chains
2Productivity
If spectrum usage efficiency is increased to accommodate more signals, then productivity improves, but inter-system interference increases
Solution Approach 1:
The system extracts and identifies noise bands from the received signals by applying windowing in the frequency domain and determining threshold values. Spectral areas identified as noise bands are excluded from data transmission, allowing the system to operate in cleaner spectral regions and reduce interference while maintaining spectrum efficiency
Solution Approach 2:
The system continuously monitors the spectrum by receiving signals through multiple antennae, processing them through windowing and threshold comparison, and identifying noise bands in real-time. This feedback mechanism allows dynamic adaptation to changing spectral conditions, enabling efficient spectrum usage while avoiding interfered frequencies
Data Source
AI summary
An apparatus includes a plurality of antennae, one or more receiver chains, non-volatile memory and a signal processor. The non-volatile memory stores instructions for executing by the processor. The processor, when executing the instructions, is configured to determine a first threshold value, apply, to each of a plurality of signals individually received through different antennae, windowing in the frequency domain, and to determine as a windowing result, for individual window frequency positions, a number of data values above the first threshold, to merge the windowing results determined for the individual signals for corresponding windowing positions, to identify as noise bands spectral areas with merged windowing results above second threshold, and to transmit and/or receive signals in spectral bands outside of the noise band spectral areas.