A Single Wavelength Airborne Sounding Radar Waveform Signal Extraction Method

Abstract

The invention discloses a waveform signal extraction method of single-wavelength airborne sounding radar, and constructs a waveform classification model based on convolutional neural network to identify the full waveform of single-wavelength airborne sounding radar, including abnormal waveforms, oversaturated waveforms, land Waveforms, Sea Waveforms, and Underwater Waveforms. Eliminate water surface echoes and abnormal waveforms, obtain waveform segments through waveform segmentation, build a waveform segment classification model SAPSO-ELM to identify waveform segments, and detect the maximum peak value of waveform segments containing peaks. Waveforms without correct peak identification are subjected to the Lucy-Richardson Lucy deconvolution algorithm for signal extraction. Experiments show that the method is efficient, accurate and adaptable in waveform signal detection.

Description

technical field [0001] The invention belongs to the field of signal processing, and in particular relates to a waveform signal extraction method of a single-wavelength airborne sounding radar. Background technique [0002] Coastal management is a complex issue facing policymakers and scientists around the world. Monitoring the coast can be difficult due to the vast body of water that needs to be covered. Obtaining accurate, high-density bathymetric and topographic measurements in coastal environments is a challenging task. Deep and shallow water bathymetry data are mainly derived from echo sounders (single and multi-beam), although in coastal areas with low energy 0-5m and small depths, ships cannot method, and classical measurement techniques such as total station (TS) are usually used. ) or a real-time kinematic global navigation satellite system (RTK-GNSS), or by deploying an unmanned surface vessel (USV). In addition, satellite bathymetry can provide medium resolution...

AI Technical Summary

Problems solved by technology

In summary, the detection of single-wavelength ALB waveform signal has the following problems: (1) The waveform is mixed, and it is not easy to separate water and land; (2) The waveform signal detection model cannot be adapted to all waveforms; (3) The traditional waveform signal detection model Time-consuming and inefficient; (4) Traditional waveform signal detection models are often not suitable for all waveform signals

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