Radar Target Detection Using Dual Observation Durations
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Solution Overview
Problem
Current radar systems face challenges in accurately detecting targets with varying motion characteristics, particularly dynamic and micro-motion targets, leading to incomplete or inaccurate detection results.
Innovation Solution
The method involves generating second data from multiple pieces of first data to extend the observation duration for micro-motion targets and using different observation durations for distinct target types, combined with feature information and confidence determination to enhance detection accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single observation duration is used for target detection, then the detection process is simple, but dynamic targets and micro-motion targets cannot be accurately distinguished
Solution Approach 1:
The patent segments the target detection process into two distinct observation durations: a first observation duration for detecting dynamic targets and a second observation duration for detecting micro-motion targets. This segmentation allows the system to apply different detection strategies tailored to each target type, improving detection accuracy without requiring a completely complex new system
Solution Approach 2:
The patent implements dynamic adjustment of observation duration based on target characteristics. The system can switch between the first observation duration (shorter) for dynamic targets and the second observation duration (longer) for micro-motion targets, making the detection process adaptive and efficient rather than static and one-size-fits-all
2Measurement precision
If a longer observation duration is used to detect micro-motion targets, then detection accuracy improves, but real-time detection of dynamic targets deteriorates
Solution Approach 1:
The patent divides the detection task into two parallel segments: one using a first observation duration optimized for dynamic targets (maintaining high detection speed) and another using a second observation duration optimized for micro-motion targets (achieving high accuracy). Both segments operate simultaneously, resolving the trade-off between speed and accuracy
Solution Approach 2:
The system applies partial observation duration to each target type rather than using a single extended duration for all targets. By using the first observation duration (shorter) for dynamic targets and the second observation duration (longer) only when needed for micro-motion targets, the system avoids excessive processing time for targets that don't require it
3Reliability
If hierarchical detection is implemented for different target types, then detection completeness improves, but processing complexity increases
Solution Approach 1:
The patent segments hierarchical detection into clearly defined levels: first detecting dynamic targets using the first observation duration, then detecting micro-motion targets using the second observation duration. Each segment has specific algorithms and criteria, making the complex hierarchical process manageable and systematic rather than chaotic
4Measurement precision
If differentiated observation durations are used for different targets, then target identification accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent applies local quality by using different observation durations (first for dynamic targets, second for micro-motion targets) tailored to the specific characteristics of each target type. This localized optimization improves identification accuracy for each category while keeping the overall system structure manageable through clear differentiation
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
This approach enables timely and accurate detection of both dynamic and micro-motion targets, improving the overall accuracy and reliability of radar detection by ensuring comprehensive and hierarchical target detection.
Implementation Method 1
a radar system 10 first transmits electromagnetic waves by an antenna, the electromagnetic waves are reflected back in response to encountering targets, the radar system then receives echo signals generated by the reflection from the targets
Implementation Method 2
the analog signal processing module is configured to perform frequency down-conversion processing on the radio frequency reception signal to acquire an intermediate frequency signal
Implementation Method 3
the digital signal processing module is configured to perform analog-to-digital conversion on the intermediate frequency signal to acquire digital signal data
Data Source
AI summary
The embodiments of the present disclosure relate to the technical field of target detection, and provide a target detection method, a point cloud output method, an integrated circuit, a sensor and a terminal device. The target detection method includes: acquiring first data, generating second data according to the plurality of pieces of the first data, detecting a first target according to the first data, and detecting a second target according to the second data, which beneficial to improving the accuracy of radar target detection.