Narrowband IQ Extraction From Wideband RF for Lower Data Load
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Solution Overview
Problem
Current technologies face challenges in efficiently capturing and storing Radio Frequency (RF) data due to high volumes of noise and non-signal data, leading to cumbersome storage and processing requirements, especially in environments with limited resources.
Innovation Solution
A system that transforms high-volume RF data into smaller narrowband signals, using a digital sampling device and data conversion module to extract IQ data, and a signal detection module to identify and separate signal components from noise, facilitating efficient storage and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wideband RF capture is performed to capture all signals in the RF spectrum, then signal detection capability is improved, but data volume and storage requirements increase significantly
Solution Approach 1:
The patent segments the wideband RF spectrum into multiple narrowband frequency channels. Instead of capturing and storing all wideband data, the system divides the spectrum into discrete frequency bins and processes each segment independently, reducing overall data volume while maintaining signal detection capability across the full bandwidth.
Solution Approach 2:
The patent extracts only the relevant narrowband IQ data corresponding to detected signals of interest from the wideband RF capture. By identifying signal parameters such as center frequency, bandwidth, and power threshold, the system extracts only the necessary portions of the spectrum for further analysis, discarding the majority of background noise and non-signal data.
2Measurement precision
If high sampling rate is used to capture RF signals, then signal fidelity is improved, but processing power and storage requirements increase
Solution Approach 1:
The patent applies different processing qualities to different frequency regions. For frequency bins containing signals of interest, high-fidelity narrowband IQ data is extracted and processed. For frequency bins containing only noise or non-signal data, minimal processing is applied or data is discarded entirely, optimizing the balance between signal fidelity and processing power consumption.
Solution Approach 2:
The patent performs full-rate sampling initially to ensure no signal information is lost, but then applies partial processing by extracting and processing only the necessary narrowband portions at full fidelity while reducing or eliminating processing for the remaining data, achieving adequate signal fidelity with reduced processing power.
3Measurement precision
If large data files are transferred over network for analysis, then analysis capability is improved, but transfer time and network resources increase
Solution Approach 1:
The patent extracts and transfers only the essential narrowband IQ data and associated metadata (signal parameters, envelope information, detection timestamps) to remote analysis systems. By pre-processing the wideband data locally and extracting only the relevant signal portions, the system reduces transfer time and network resource consumption while preserving the capability to perform comprehensive signal analysis remotely.
Data Source
AI summary
Capturing, extracting and storing narrowband IQ data for later processing enables timely and efficient analysis. As wideband capture of RF information includes noise and non-signal elements, the present invention detects, extracts and stores narrowband IQ signals for later assessment. By transforming a high-volume data stream to a collection of smaller narrowband signals with greatly reduced storage and on-board processing requirements the present invention facilitates the capability to analyze signals of interest in an otherwise denied environment.