Radar Target Detection Using Adaptive 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 different observation durations for different types of targets, using first data for dynamic targets and second data for micro-motion targets, allowing for hierarchical detection and confidence determination based on feature information to enhance accuracy and timeliness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single observation duration is used for all targets, then the detection process is simple, but detection accuracy for different target types deteriorates
Solution Approach 1:
The patent segments the target detection process into two distinct observation modes: first observation duration for dynamic targets and second observation duration for micro-motion targets. This segmentation allows each target type to be detected with optimized parameters, resolving the contradiction between simple detection process and high detection accuracy.
2Measurement precision
If a long observation duration is used, then detection accuracy for micro-motion targets improves, but detection timeliness for dynamic targets deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of observation duration based on target type. The system adapts the observation duration to match the motion characteristics of the detected target: using first observation duration for dynamic targets to ensure timely detection, and second observation duration for micro-motion targets to ensure detection accuracy. This dynamic parameter adjustment resolves the contradiction between detection accuracy and timeliness.
3Measurement precision
If different observation durations are used for different targets, then detection accuracy improves, but system complexity increases
Solution Approach 1:
The patent changes the observation duration parameter based on target classification. By identifying target type (dynamic or micro-motion) and adjusting the observation duration parameter accordingly, the system achieves high detection accuracy without requiring fundamentally different detection systems. This parameter-based approach manages complexity while maintaining precision.
4Reliability
If hierarchical detection with confidence determination is implemented, then detection reliability improves, but processing complexity increases
Solution Approach 1:
The patent performs preliminary classification of targets into dynamic or micro-motion categories before applying the appropriate observation duration. This preliminary action simplifies the overall processing by organizing the detection workflow into clear stages: classification, parameter selection, and detection. The hierarchical structure with confidence determination enhances reliability while managing complexity through systematic organization.
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 reliability and precision of radar detection by adapting to the characteristics of different targets.
Implementation Method 1
a radar system first transmits electromagnetic waves by an antenna
Implementation Method 2
the electromagnetic waves are reflected back in response to encountering a target
Implementation Method 3
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 4
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
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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.