SSR Multipath False Target Positioning and Suppression
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Solution Overview
Problem
Existing secondary surveillance radar (SSR) systems struggle to effectively eliminate multipath signals caused by reflections from obstacles, leading to false targets due to the difficulty in distinguishing direct and reflected signals, especially with single pulse signals lacking phase or carrier frequency relations.
Innovation Solution
A system and method to determine the position of multipath targets by generating input data, calculating reflected signal power, displaying and transferring false target positions, and applying a multipath suppressing algorithm using power and time comparisons between main and suppressing channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If SSR uses single pulse signals without phase or carrier frequency modulation, then the system is simpler to operate, but it becomes more difficult to eliminate multipath signals and false targets
Solution Approach 1:
The system pre-calculates and stores the positions of potential false targets caused by reflection from known obstacles (mountains, buildings, terrain features) before actual radar operation. By having this multipath position information ready in advance, the system can quickly compare actual radar returns against predicted false target locations and suppress them, thereby improving reliability without complicating the signal transmission process
Solution Approach 2:
The patent introduces an intermediary processing layer that includes a multipath position determining component and a false target suppressing component. This intermediary system acts as a mediator between the simple single-pulse signal transmission and the target detection process, analyzing signal characteristics and comparing them against pre-determined multipath positions to eliminate false targets while maintaining the simplicity of the original signal approach
2Measurement precision
If the system determines and suppresses multipath false targets using complex algorithms and multiple components, then false target elimination accuracy improves, but system complexity increases
Solution Approach 1:
The system performs preliminary determination of multipath false target positions based on known reflector locations (terrain, buildings, mountains) and stores this information before actual radar operation. This pre-computation approach allows the system to achieve high measurement precision in false target identification without requiring complex real-time calculations during radar operation, thereby reducing the perceived system complexity
Solution Approach 2:
The patent divides the false target suppression system into distinct functional modules: a multipath position determining component that calculates false target locations, a comparing component that matches detected targets against predicted false targets, and a suppressing component that eliminates identified false targets. This segmentation allows each module to perform its specific function with optimized complexity, making the overall system more manageable and understandable while maintaining high precision
3Reliability
If the system uses reflected signal power comparison and time comparison algorithms, then the ability to differentiate real targets from false targets improves, but the processing time and computational load increase
Solution Approach 1:
The system pre-determines and stores the positions and characteristics of potential false targets caused by reflection from known obstacles. By having this multipath position information ready in advance, the system can quickly compare actual radar returns against predicted false target locations using simple power and time comparison algorithms, achieving high target differentiation accuracy without excessive processing time
Solution Approach 2:
The patent employs parameter changes in the form of comparing signal power levels and time delays between direct path signals and reflected path signals. By analyzing these parameters against pre-determined thresholds and characteristics of false targets, the system can rapidly differentiate real targets from false targets with high reliability while minimizing processing time through efficient parameter-based decision making
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
The system accurately identifies and suppresses 100% of multipath false targets beyond the resolution limit, ensuring reliable detection by distinguishing real targets from false ones.
Implementation Method 1
the electromagnetic radiation in space received by radar is the sum-up of radiations from several directions caused by reflection, refraction, and diffusion as reacting with obstacles
Implementation Method 2
the electromagnetic radiation in space received by radar is the sum-up of radiations from several directions caused by reflection, refraction, and diffusion as reacting with obstacles
Data Source
AI summary
The invention proposes False targets caused by reflection position determining system and solution for the SSR which helps determine reflected real target's coordinate, reflector's coordinate and features, coordinate and features of the false target (multipath target) and using these data as the basis to build up the multipath target suppressing system, guaranteeing the detecting ability of the radar. The proposed system contains: Input data generating component; False target position (multipath position) determining component; Reflected signal power comparison calculating component; Displaying and data transferring component; Reflected multipath targets suppressing component. The proposed measure includes 5 steps: Step 1: generating input data for the multipath position determining system; step 2: determining the position of the target's ghost; step 3: comparing the signal power; step 4: displaying and false target information (position, power) transferring; step 5: applying multipath suppressing algorithm on the SSR.