Sensor AGC Using Test Echo Saturation for Accurate Detection
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Solution Overview
Problem
Sensor systems, such as radar, face challenges in maintaining accurate signal strength within predefined limits due to saturation issues, leading to signal distortion, missed detection, and false detection, as they receive echo signals that exceed maximum or fall below minimum signal strength thresholds.
Innovation Solution
An automatic gain control (AGC) method that adjusts the gain for both transmitting and receiving chains based on saturation information from test echo signals, ensuring signal power remains within defined ranges by using a sequence of test and scanning unit signals to determine optimal gains for the analog-to-digital converter (ADC) output, thereby preventing distortion and noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the sensor receives echo signals with varying strength from reflectors at different ranges, then the sensor can detect objects at various distances, but the received signal strength may exceed the maximum strength limit causing signal distortion and blinding
Solution Approach 1:
The system performs preliminary gain adjustment during a calibration phase before actual object detection. Test signals are transmitted and received, and the gain is adjusted in advance to ensure that subsequent detection signals fall within the optimal reception range, preventing saturation and distortion
Solution Approach 2:
The system uses feedback from test echo signals to automatically adjust the gain of the receiving chain. By monitoring the strength of received test signals and comparing them against optimal ranges, the system dynamically adjusts gain parameters to maintain signal accuracy across varying detection scenarios
2Adaptability or versatility
If the sensor receives weak echo signals from distant objects, then the sensor can extend detection range, but quantization noise is introduced leading to missed detection and false detection
Solution Approach 1:
The system performs preliminary gain adjustment during a calibration phase before actual object detection. Test signals are transmitted and received, and the gain is adjusted in advance to ensure that subsequent detection signals fall within the optimal reception range, preventing saturation and distortion
Solution Approach 2:
The system uses feedback from test echo signals to automatically adjust the gain of the receiving chain. By monitoring the strength of received test signals and comparing them against optimal ranges, the system dynamically adjusts gain parameters to maintain signal accuracy across varying detection scenarios
3Device complexity
If the sensor uses fixed gain for transmitting and receiving chains, then the circuit design is simpler, but the signal strength cannot be maintained within predefined range under varying reflection conditions
Solution Approach 1:
The system performs preliminary gain adjustment during a calibration phase before actual object detection. Test signals are transmitted and received, and the gain is adjusted in advance to ensure that subsequent detection signals fall within the optimal reception range, preventing saturation and distortion
Solution Approach 2:
The system uses its own test signals to automatically determine the appropriate gain settings. By transmitting test signals and analyzing the received echo strengths, the sensor self-adjusts its gain parameters without requiring external calibration equipment or complex manual configuration
Data Source
AI summary
An automatic gain control method, sensor (700), and radio device (900); by means of using the saturation information of a test echo unit to adjust the gain coefficient of a transmitting and receiving link, it is ensured that the received signal power used for target detection is located within a rated threshold range, further improving the accuracy of sensor (700) target detection, and avoiding defects such as missed detection, false detection, and even blindness.


