Wireless Band Detection Using Recursive Spectrum Narrowing
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Solution Overview
Problem
Wireless communication devices that operate in multiple frequency bands and modes require significant processing power and time to detect the presence of a frequency band and mode of operation using traditional sequential scanning methods.
Innovation Solution
The method employs recursive sampling and narrowing down by initially sampling a portion of the operational frequency spectrum at a discrete rate below the Nyquist rate, comparing energy graphs with protocol-specific signatures to identify matches, and iteratively reducing the frequency spectrum to quickly find a frequency band or channel, thereby reducing power consumption and detection time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sequential scanning methods are used to detect frequency bands and modes of operation, then comprehensive detection coverage is achieved, but detection time and power consumption increase significantly
Solution Approach 1:
The patent segments the frequency spectrum into multiple bands and further divides each band into smaller subsets. Instead of scanning the entire spectrum sequentially, the receiver scans different subsets of frequency bands in parallel or interleaved manner, significantly reducing detection time while maintaining comprehensive coverage. The spectrum is divided into first plurality of bands, then each band is divided into second plurality of bands, allowing hierarchical parallel scanning.
Solution Approach 2:
The patent introduces a new dimension to the scanning process by using multiple receivers or receiver chains that can simultaneously scan different frequency subsets. This transforms a one-dimensional sequential scan into a multi-dimensional parallel scanning approach, where multiple frequency bands are detected concurrently across different spatial or processing dimensions.
2Measurement precision
If traditional sequential scanning methods are used to detect frequency bands and modes of operation, then comprehensive detection coverage is achieved, but power consumption increases significantly
Solution Approach 1:
By segmenting the frequency spectrum into multiple subsets that can be scanned in parallel by different receiver chains, the patent reduces the total scanning time required to achieve comprehensive detection coverage. Since power consumption is directly related to scanning duration, reducing time through segmentation directly reduces overall power consumption while maintaining complete frequency band detection.
Solution Approach 2:
The patent employs multiple receivers or receiver chains that can simultaneously scan different frequency subsets. This partial parallelization allows the system to cover the entire frequency spectrum faster than a single receiver could sequentially, thereby reducing total power consumption despite having multiple receivers active, because the reduced scanning time compensates for the additional receiver power draw.
3Measurement precision
If multiple frequency bands and modes are scanned sequentially, then all operational modes are detected, but the scanning process becomes slow and power hungry
Solution Approach 1:
The patent divides the frequency spectrum into multiple bands and further segments each band into subsets that can be scanned simultaneously by different receiver chains. This segmentation enables parallel processing of multiple frequency ranges, dramatically increasing scanning speed while ensuring that all operational modes across the entire spectrum are still detected through the coordinated operation of multiple receivers.
Data Source
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AI summary
A method and apparatus for detecting a frequency band and mode of operation using recursive sampling and narrowing down is disclosed. The method comprises sampling (215) by a multi-mode wireless communication device, a broad operational frequency spectrum at a first sampling rate to produce a first set of discrete signal samples. Then, the wireless communication device compares (230, 240) at least one of the energy graphs of the first set of discrete signal samples with at least one protocol-specific signature to confirm (245), if an approximate match is found. When one or more approximate matches are found, the wireless communication device narrows down (250) the broad frequency spectrum to a reduced set of frequency band(s) that correspond to the matched protocol-specific signature(s). Then the steps of sampling (215), comparing (230, 240), confirming (245), and narrowing down (250) are recursively followed till a frequency band and mode of operation is confirmed.