Radar Receive Data Reduction via Spectral Sub-band Segmentation
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Solution Overview
Problem
Current methods for reducing radar data, such as digital methods and deramping, are limited in effectiveness, especially for flexible data reduction in radar systems with multiple modes, due to the lack of radiation-resistant electronic components and inefficiency in utilizing the characteristics of receive signals.
Innovation Solution
A method that specifies a temporal receive window for radar echo signals based on the area to be detected, divides the signals into spectral sub-bands, and adjusts the sampling rate according to the number of active sub-band windows, allowing for variable sampling and efficient data reduction by activating sub-band windows only when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If digital methods for data reduction are used, then data volume is reduced, but radiation-resistant electronic components are not available to support the required data rate
Solution Approach 1:
The receive signal is divided into multiple spectral sub-bands, and the sampling process is segmented into multiple phases corresponding to different sub-band combinations. This allows the system to process data at lower instantaneous rates that are feasible with available radiation-resistant components while maintaining overall data quality through coordinated processing of all sub-bands.
Solution Approach 2:
The system dynamically adjusts the sampling rate and active sub-band windows based on the instantaneous bandwidth requirements. By activating only the necessary number of sub-band windows at any given time, the sampling rate is optimized to match the actual data reduction capability of the available radiation-resistant electronics, enabling flexible adaptation to different mission requirements.
2Ease of operation
If fixed sampling rate is used, then system is simple to operate, but data reduction efficiency is limited for radar systems with multiple modes
Solution Approach 1:
The system implements a variable sampling rate that dynamically adapts to different radar operating modes and instantaneous bandwidth requirements. By controlling the number of active sub-band windows, the sampling rate can be adjusted in real-time to match mission-specific needs, providing both simplicity through automated control and versatility through mode-specific optimization.
Solution Approach 2:
The sub-band sampling framework provides a universal solution that can accommodate multiple radar operating modes and applications. The same basic architecture with M sub-bands can be configured to support different data reduction ratios and sampling rates, making it applicable to various mission requirements from high-resolution imaging to wide-swath coverage.
3Loss of information
If all spectral sub-bands are sampled continuously, then complete signal information is captured, but data volume is not optimized
Solution Approach 1:
Instead of continuously sampling all M spectral sub-bands, the system activates only N <= M sub-band windows at any given time based on instantaneous bandwidth requirements. This partial sampling approach captures sufficient signal information for the current operational mode while significantly reducing the overall data volume by excluding redundant sub-band data.
Solution Approach 2:
The system dynamically adjusts which sub-band windows are active based on the instantaneous bandwidth of the receive signal. By monitoring signal characteristics and adapting the active sub-band set accordingly, the system ensures complete capture of essential signal information while minimizing data volume through selective sampling of only the necessary spectral components.
Data Source
AI summary
A method for the reduction of receive data of a radar includes receiving a radar echo signal emanating from a chirp-like transmit signal and specifying a temporal receive window of the radar echo signal as a function of an area to be detected by a radar. The method also includes dividing the received radar echo signal into a plurality of spectral sub-bands, determining sub-band windows for each of the plurality of spectral sub-bands, activating the sub-band windows within the temporal receive window of the radar echo signal as a function of a receive time of the radar echo signal, and then sampling the radar echo signal using a sampling rate that is adjusted as a function of a number of sub-band windows active at a respective sampling instance.