Chirp Sweep Receiver Architecture for Wideband Spectrum Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional spectrum sensing systems are unable to achieve high dynamic range spectrum sensing over wide bandwidths at high speeds, leading to inefficiencies in managing and coordinating the use of electromagnetic spectrum, particularly in unlicensed bands where services like LTE and WiFi overlap.
Innovation Solution
A low-cost receiver architecture that uses a direct chirp or superheterodyne chirp/sweep sampling down-conversion architecture, enabling rapid sweeping of large bandwidths with high-time resolution, and includes self-calibration mechanisms to correct distortion and identify transmission protocols using software-defined radios and phase lock loops.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional spectrum sensing systems are used, then spectrum monitoring can be performed, but high dynamic range spectrum sensing over wide bandwidths at high speeds cannot be achieved
Solution Approach 1:
The spectrum sensing process is divided into multiple frequency segments that are swept sequentially. The sensor sweeps its center frequency across the entire frequency spectrum, capturing signal samples at different frequency points. This segmentation allows wide bandwidth coverage while maintaining high sensing speed and dynamic range performance in each segment.
Solution Approach 2:
The system employs dynamic frequency sweeping where the sensor's center frequency is continuously tuned across the spectrum. This dynamic approach enables the system to adapt to different frequency bands and maintain optimal performance across wide bandwidths, resolving the contradiction between wide bandwidth coverage and high dynamic range sensing.
2Area of stationary object
If the sensor sweeps across the entire frequency spectrum, then wide bandwidth monitoring is achieved, but signal distortion occurs during sweeping
Solution Approach 1:
The system incorporates feedback mechanisms where signal samples captured during sweeping are processed to determine signal characteristics. This feedback enables the system to adjust sweeping parameters and compensate for distortions, maintaining signal accuracy across the entire frequency spectrum while achieving wide bandwidth coverage.
Solution Approach 2:
The system dynamically changes sweeping parameters such as sweep rate, center frequency, and bandwidth based on detected signal characteristics. By adjusting these parameters in real-time, the system maintains high signal sample accuracy across wide frequency ranges, resolving the contradiction between spectrum coverage and signal precision.
3Productivity
If rapid sweeping is performed to achieve high sensing speed, then productivity improves, but time for accurate signal analysis decreases
Solution Approach 1:
The system performs preliminary signal processing and analysis during the sweeping process itself, rather than waiting for complete spectrum coverage. Signal characteristics are identified and processed in real-time as samples are captured, enabling high sensing speed while maintaining adequate analysis time through overlapping processing windows.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient spectrum monitoring and classification across entire frequency bands, allowing for better coordination of spectrum usage and management, including the detection of diverse wireless communication protocols, and supports decentralized control planes for multi-provider spectrum sharing.
Implementation Method 1
The generated tuning tone may be mixed with the received signal. The received signal may be amplified to generate one or more mixed signal samples.
Implementation Method 2
The sensor may include a local oscillator (LO) configured to perform the sweeping by generating, using a frequency synthesizer of the sensor, for each signal sample, a tuning tone having a sweep reference signal.
Data Source
AI summary
A method, a system, and a computer program for executing high resolution spectrum monitoring. A sensor receives an input signal having a varying frequency content over time. One or more samples of the received input signal are sampled. The samples of the received input signal include one or more swept signal samples generated by sweeping, using a center frequency of the sensor, the received input signal across an entire frequency spectrum associated with the received input signal. Sampling of the samples of the received signal is performed while performing the sweeping. The signal samples are processed.