Radar Apparatus Object Detection Segmentation
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Solution Overview
Problem
Existing radar systems require longer measurement times for detecting small-movement objects, leading to reduced detection accuracy and inefficiencies in processing times for both moving and small-movement objects.
Innovation Solution
The radar apparatus employs frequency-modulated radar transmission signals and advanced signal processing techniques, including coherent addition and amplitude variation analysis, to reduce measurement time and enhance detection accuracy by using frequency-modulated radar transmission signals and advanced signal processing techniques such as coherent addition and amplitude variation analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a longer measurement time is used to detect small-movement objects, then detection accuracy is improved, but processing time increases and productivity decreases
Solution Approach 1:
The patent divides object detection into two separate processing paths: one for moving objects using short-time Fourier transform with shorter measurement time, and another for small-movement objects using spectral estimation with longer measurement time. This segmentation allows each path to be optimized independently, resolving the contradiction between detection accuracy and processing speed by matching measurement time to object type.
Solution Approach 2:
The patent dynamically selects different signal processing methods and measurement times based on the detected object type. For moving objects, it uses faster processing with shorter measurement time; for small-movement objects, it employs more accurate but slower spectral estimation. This dynamic adaptation resolves the contradiction by adjusting measurement time according to the specific detection requirements.
2Measurement precision
If separate processing is performed for moving objects and small-movement objects, then detection accuracy for each type is improved, but overall measurement time increases
Solution Approach 1:
The patent segments the detection process into parallel paths: one for moving objects using FFT with shorter measurement time, and another for small-movement objects using spectral estimation. By processing different object types simultaneously through dedicated paths rather than sequentially, the system maintains high detection accuracy for each type while reducing overall measurement time.
Solution Approach 2:
The patent applies partial action by using different measurement time lengths appropriate for each object type. Moving objects require shorter measurement time, while small-movement objects require longer measurement time. This partial application of measurement time to each specific need resolves the contradiction by avoiding unnecessary long measurement times for all objects.
3Measurement precision
If frequency-modulated radar signals with coherent addition are used, then detection accuracy is improved, but signal processing complexity increases
Solution Approach 1:
The patent segments signal processing into two distinct paths: one using frequency-modulated signals with coherent addition for moving objects, and another using spectral estimation for small-movement objects. This segmentation isolates the complex processing to only where needed, maintaining high detection accuracy while managing overall system complexity by not applying complex methods universally.
Solution Approach 2:
The patent changes processing parameters based on object type: using frequency-modulated signals with coherent addition for moving objects, and spectral estimation methods for small-movement objects. This parameter adaptation resolves the contradiction by adjusting processing complexity to match the specific detection requirements of each object type.
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 allows for accurate detection of objects in a shorter measurement time, improving detection efficiency and accuracy for both moving and small-movement objects by leveraging frequency-modulated radar signals and advanced signal processing methods.
Implementation Method 1
a radar transmission signal that modulates an amplitude of a reference signal with code sequences
Implementation Method 2
reflection waves that are produced by reflection of radar pulses transmitted from a transmission antenna by a target
Implementation Method 3
frequency-modulated radar transmission signals
Implementation Method 4
coherent addition and amplitude variation analysis
Data Source
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AI summary
A radar transmission unit (Tx) transmits high frequency radar transmission signals from a transmission antenna (Tx_ant1). Each of antenna system processing units (D1) receives reflected wave signals by means of a reception antenna (Rx_ant1), said reflected wave signals being the radar transmission signals reflected by an object, and each of the antenna system processing units calculates correlation between the reflected wave signals and the radar transmission signals. On the basis of outputs of the (Tp+1) (Tp is an integer) number of antenna system processing units (D1), an object detection processing unit (10) detects whether there is an object or not using amplitude differences between an amplitude of an output of the (Tp+1)th antenna system processing unit (D1) and respective amplitudes of outputs of the first to the Tpth antenna system processing units (D1).