FMCW Radar Signal Superposition for Indoor Interference Mitigation
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Solution Overview
Problem
Radar signal processing in indoor environments is hindered by environmental interference from static and dynamic factors, leading to inaccurate measurements due to signal reflection and object movement, which existing technologies fail to effectively address.
Innovation Solution
The implementation of a Frequency Modulated Continuous Wave (FMCW) radar system that includes a transmitter and receiver configured to transmit and receive chirp signals, superpose digital signals to generate output signals, and utilize statistical information and machine learning models to determine the presence and characterization of objects, thereby reducing data processing and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional radar signal processing is used in indoor environments, then the system can detect objects, but measurement accuracy deteriorates due to environmental interference from signal reflection and object movement
Solution Approach 1:
The patent extracts and removes interference components from the radar signal through digital signal processing. The receiver separates the reflected chirp signals into target objects and environmental interference (such as reflections from floors, walls, and cabinets), then eliminates the interference components to obtain clean target signals for accurate measurement.
Solution Approach 2:
The system uses feedback mechanisms to continuously monitor and adjust signal processing parameters. By analyzing the received signals in real-time, the system identifies interference patterns and adapts the processing algorithm to suppress reflections and movements, thereby maintaining measurement accuracy despite changing environmental conditions.
2Loss of information
If multiple digital signals are processed individually, then comprehensive object information can be obtained, but processing time increases
Solution Approach 1:
The patent merges multiple digital signals corresponding to reflected chirp signals through superposition. By combining signals from multiple receiving antennas and multiple chirp pulses, the system obtains comprehensive object information while reducing processing time through parallel processing and efficient signal integration techniques.
Solution Approach 2:
The system performs preliminary signal processing operations on individual digital signals before final integration. Digital signals are pre-processed to extract essential features and remove obvious noise, which reduces the computational burden of subsequent processing steps and accelerates overall object detection while preserving information completeness.
3Reliability
If digital signals from multiple receiving antennas are combined, then signal reliability improves, but processing complexity increases
Solution Approach 1:
The patent combines digital signals from multiple receiving antennas through coherent superposition. The receiver integrates signals from multiple antennas while maintaining phase and amplitude relationships, which improves signal reliability and detection accuracy. The processing complexity is managed through efficient algorithms that handle multi-antenna data streams in parallel.
4Measurement precision
If alignment processing is performed on digital signals before superposition, then superposition accuracy improves, but processing time increases
Solution Approach 1:
The system performs alignment processing as a preliminary step before signal superposition. Digital signals from multiple antennas are time-aligned and phase-synchronized to ensure accurate superposition. This preliminary alignment reduces the need for iterative corrections later and accelerates the overall processing pipeline through optimized algorithms.
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 effectively mitigates interference from static and dynamic environments, enhances processing efficiency, and reduces erroneous determinations by identifying objects and calculating characterization information with improved accuracy.
Implementation Method 1
a radar technology can be applied to a large number of outdoor fields such as speed measurement and ranging
Implementation Method 2
floors, walls, and cabinets cause signal reflection interference
Implementation Method 3
The receiver is then configured to superpose a plurality of digital signals corresponding to the chirp signals to obtain an output signal
Data Source
AI summary
A method for processing digital signals is provided. In the method, a plurality of digital signals corresponding to radar signals received by a receiving terminal are superposed, so as to reduce noise caused by environmental interference. Therefore, according to an output signal obtained after the superposition, accurate characterization information of a to-be-detected object can be obtained.