Spectrum Sensing Radar Sub-band Optimization
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Solution Overview
Problem
Radar systems face challenges in maintaining accuracy and functionality due to increased congestion in the electromagnetic spectrum, requiring effective mitigation of radio frequency interference (RFI) and efficient spectrum management.
Innovation Solution
A spectrum sensing radar system with a spectrum power sensing module and multi-objective function module that calculates and maximizes signal to interference plus noise (SINR) and bandwidth by determining optimal transmit frequency, power, and bandwidth sets, using a fast weighted sum multi-objective optimization technique to identify optimal sub-bands for operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If radar systems operate in congested electromagnetic spectrum, then spectrum utilization increases, but signal to interference plus noise (SINR) ratio deteriorates
Solution Approach 1:
The patent divides the congested electromagnetic spectrum into multiple sub-bands and selectively identifies optimal sub-bands for radar operation. By segmenting the spectrum and using spectrum sensing to evaluate each sub-band's interference level, the radar system can operate in cleaner portions of the spectrum, maintaining high spectrum utilization while avoiding heavily interfered frequencies, thus preserving SINR ratio.
Solution Approach 2:
The patent implements dynamic spectrum access by continuously sensing the electromagnetic spectrum and adapting the radar's operating frequency to changing interference conditions. The system dynamically selects optimal sub-bands based on real-time spectrum measurements, allowing it to maintain reliable operation in congested environments by shifting away from interfered frequencies when necessary.
2Reliability
If multi-objective optimization is used to maximize SINR and bandwidth, then radar performance improves, but computational complexity increases
Solution Approach 1:
The patent segments the optimization problem by first identifying candidate sub-bands through spectrum sensing, then performing multi-objective optimization only within those selected sub-bands rather than across the entire spectrum. This two-stage approach reduces computational complexity by limiting the optimization search space to pre-identified promising regions while still achieving optimal radar performance in terms of SINR and bandwidth.
Solution Approach 2:
The patent performs preliminary spectrum sensing and sub-band identification before executing the multi-objective optimization. By pre-processing the spectrum data to identify candidate sub-bands with favorable characteristics, the system reduces the computational burden of the subsequent optimization step, as it only needs to optimize within a smaller set of pre-selected frequency ranges rather than searching the entire spectrum.
Data Source
AI summary
A spectrum sensing radar system including a spectrum power sensing module configured to sense electromagnetic signal powers in a plurality of sub-frequencies and generate a sensed power set including a plurality of sensed electromagnetic signal powers corresponding to each of the plurality of sub-frequencies; a multi-objective function module configured to receive the sensed power set and calculate a first objective function for each of the plurality of sub-frequencies, wherein the first objective function includes a power function divided by an empirical measure of interference of the sensed power set to form a signal plus noise objective function for a sub-frequency of the plurality of sub-frequencies, and wherein the power function further includes a peak transmit power of the radar system multiplied by a gain of an antenna of the radar system, multiplied by a wavelength of a carrier of the sub-frequency.