Carrier Detection via Iterative Peak Analysis
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Solution Overview
Problem
Current mobile communication systems face inefficiencies in detecting carrier signals at low levels, leading to prolonged registration times and excessive computational resources during RSSI scans, and require optimized methods for generating and transmitting signal strength reports.
Innovation Solution
A method involving generating a narrowband spectrum, detecting peaks, and iteratively modifying a candidate frequency list based on peak detection, with peak rejection and ranking to minimize false detections and optimize scan efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an exhaustive search on every channel is performed to detect carriers at reference sensitivity levels, then carrier detection reliability is improved, but registration time increases and computational cost increases
Solution Approach 1:
The patent segments the carrier detection process into two phases: an RSSI scan phase that identifies candidate channels with potential carriers, and a subsequent exhaustive search phase that only processes these candidates. This segmentation allows the system to quickly filter out channels without carriers using low-computation RSSI measurements, while reserving computationally expensive exhaustive searches only for promising candidates, thereby reducing overall registration time while maintaining detection reliability
Solution Approach 2:
The patent performs preliminary RSSI scans and peak detection in the power spectrum before conducting exhaustive searches. By预先 identifying candidate channels through power spectrum analysis and peak detection, the system prepares a filtered list of channels that are likely to contain carriers, avoiding unnecessary exhaustive searches on channels without carriers and thus reducing registration time
2Reliability
If an exhaustive search on every channel is performed to detect carriers at reference sensitivity levels, then carrier detection reliability is improved, but computational cost increases
Solution Approach 1:
The patent segments the carrier detection process into two phases: an RSSI scan phase that identifies candidate channels with potential carriers, and a subsequent exhaustive search phase that only processes these candidates. This segmentation allows the system to quickly filter out channels without carriers using low-computation RSSI measurements, while reserving computationally expensive exhaustive searches only for promising candidates, thereby reducing overall computational cost while maintaining detection reliability
Solution Approach 2:
The patent applies partial action by performing exhaustive searches only on a subset of channels identified as candidates through preliminary RSSI scanning and peak detection, rather than performing exhaustive searches on all channels. This partial application of the computationally intensive search method significantly reduces computational cost while still ensuring reliable detection of carriers that may be present
3Measurement precision
If detailed signal strength measurements are collected and transmitted to the network, then measurement precision is improved, but wireless resource consumption increases
Solution Approach 1:
The patent extracts only the essential information needed for network decision-making - specifically the list of candidate carrier frequencies and their associated signal strength measurements - and transmits this filtered set to the network. By extracting and transmitting only the most relevant measurements rather than all raw measurement data, the system maintains measurement precision for decision-making while significantly reducing wireless resource consumption during report transmission
Data Source
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AI summary
There is disclosed a method of determining one or more candidate frequencies for a carrier signal in a received signal, which method comprises: generating a narrowband spectrum of the received signal; detecting one or more peaks in the narrowband spectrum; generating a candidate frequency list, each frequency at which a peak occurs being included in the candidate frequency list. The method further comprises: removing the detected one or more peaks from the narrowband spectrum to generate a modified narrowband spectrum; detecting one or more further peaks in the modified narrowband spectrum; and modifying the candidate frequency list in dependence on the one or more further peaks.