GNSS Jamming System Power Optimization
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Solution Overview
Problem
Existing solutions for jamming GNSS signals are inefficient in determining optimal power levels for jammers, leading to oversizing of interference power and impacting autonomy, while also failing to preserve a second group of receivers in the same geographical area, causing collateral interference with signals using nearby frequencies.
Innovation Solution
A method and system that model the jamming effect and constraints using a linear approach to determine optimal power distribution for a set of jammers, minimizing overall power and ensuring that a second group of receivers is not affected, employing the Simplex algorithm to calculate optimal interference powers and respecting specific constraints to preserve the operation of both groups of receivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the power of jamming signals is increased to ensure effective jamming of target receivers, then the jamming effectiveness is improved, but the overall power consumption increases and autonomy is reduced
Solution Approach 1:
The patent applies local quality by determining specific power levels for each jammer individually based on the unique characteristics of each target receiver (distance, antenna gain, receiver sensitivity). Instead of using a uniform high power level for all jammers, each jammer is assigned the minimum necessary power to achieve effective jamming of its specific target, thereby reducing overall power consumption while maintaining jamming effectiveness.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting the power level of each jammer based on calculated parameters including distance to target, antenna gain patterns, receiver sensitivity, and desired jamming margin. The optimization algorithm varies these power parameters to find the minimum total power configuration that satisfies all jamming requirements, directly addressing the contradiction between effectiveness and energy consumption.
2Area of stationary object
If the power of jamming signals is increased to disturb target receivers at significant distances, then the jamming range is extended, but the autonomy of the jamming device is reduced
Solution Approach 1:
The patent extends jamming coverage area efficiently by optimizing the spatial distribution of multiple jammers with locally optimized power levels. Each jammer is positioned and powered to cover a specific sector or target, allowing the system to achieve broad geographic coverage without requiring each individual jammer to operate at maximum power continuously, thus preserving autonomy.
Solution Approach 2:
The patent segments the jamming task across multiple jammers, with each jammer responsible for a specific target or geographic sector. This segmentation allows the system to achieve extended coverage area by coordinating multiple lower-power units rather than relying on a single high-power unit, thereby extending range while maintaining autonomy.
3Device complexity
If a single jammer operates at high power to jam multiple receivers, then the number of jammers can be reduced, but the overall power consumption and collateral interference increase
Solution Approach 1:
The patent reduces collateral interference by assigning each jammer a specific target receiver and optimizing its power level for that particular target. This localized approach ensures that each jammer emits only the necessary power in the direction of its target, minimizing interference to non-target receivers. The system achieves effective jamming of multiple receivers through multiple specialized jammers rather than a single high-power jammer that would cause widespread collateral interference.
4Loss of energy
If the jamming signal power is optimized to minimize total power, then energy efficiency is improved, but it becomes difficult to ensure sufficient jamming effect on all target receivers
Solution Approach 1:
The patent resolves this contradiction by formulating an optimization problem that explicitly balances energy efficiency with jamming effectiveness. The optimization algorithm adjusts the power parameters of all jammers simultaneously to find the configuration that minimizes total power consumption while satisfying minimum jamming effect requirements for each target receiver. The objective function incorporates both power minimization and jamming effectiveness constraints, ensuring that energy efficiency is achieved without compromising the required jamming effect.
Data Source
AI summary
The invention relates to a method that comprises using a number K at least equal to one of jammers for jamming the GNSS signals received by a first group comprising a number N at least equal to one of mobile receivers I having known positions within a given geographic area, said mobile receivers being suitable for receiving at least one GNSS signal transmitted according to a given wave shape for supporting a service l, said K jammers being suitable for generating at least one jamming signal s having a power Jk,s not exceeding a maximum power Jk max, and said jamming signal being suitable for jamming said GNSS signal supporting said service l.