Navigation radar target detection method and device based on deep learning
A technology of deep learning and target detection, applied in the field of radar, can solve the problems of poor radar target detection accuracy and achieve the effect of accurate target information and reliable reference basis
Active Publication Date: 2020-06-23
BEIJING HIGHLANDER DIGITAL TECH
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[0003] The invention provides a deep learning-based navigation radar target detection method and device, which solves the problem of poor radar target detection accuracy
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[0044] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.
[0045] Such as figure 1 As shown, the embodiments of the present invention provide a deep learning-based marine radar target detection method, specifically comprising the following steps:
[0046] Step 11: Obtain the radar raw data information collected by the radar receiver.
[0047] Step 12: Perform analog-to-digital conversion processing on the radar raw data information to obtain digital signals.
[0048] Step 13: According to the deep learning algorithm and / or the first filtering algorithm, respectively detect and process the digital signal to determine the target;
[0049] Step 14: If no target is detected according to the first filtering algorithm and the target is detected according to the deep learning algorithm, output the target detected acc...
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The invention provides a navigation radar target detection method and device based on deep learning. The method comprises the steps of acquiring radar original data information collected by a radar receiver; performing analog-to-digital conversion processing on the radar original data information to obtain a digital signal; detecting the digital signal according to a deep learning algorithm and / ora first filtering algorithm, and determining a target; if the target is not detected according to the first filtering algorithm and the target is detected according to the deep learning algorithm, outputting the target detected according to the deep learning algorithm; or, when the target is not detected according to the deep learning algorithm and the target is detected according to the first filtering algorithm, outputting the target detected according to the first filtering algorithm. In the invention, accurate target information is provided for a user so that a reliable reference basis isprovided for navigation, collision avoidance and target monitoring.
Description
technical field [0001] The invention relates to the field of radar technology, in particular to a method and device for detecting a marine radar target based on deep learning. Background technique [0002] Radar is widely used in the field of ships. For ship drivers, radar is equivalent to their "eyes". Large ships need to be equipped with two radars, one is an S-band radar working at 3GHz, and the other is an X-band radar working at 9GHz. The X-band is used for long-distance detection to realize early warning and navigation functions; the S-band is used for short-range detection. distance measurement to realize navigation and collision avoidance functions. In addition to marine radars, there are also shore-based radars. Shore-based radar is generally installed in ports or seasides to monitor and assist ships to enter the port safely. Both marine radar and shore-based radar are marine radars. However, marine radar detects targets based on the traditional threshold method ...
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IPC IPC(8): G01S7/292G01S7/295G01S7/35G01S13/937G06N20/00
CPCG01S7/2923G01S7/295G01S7/354G06N20/00
Inventor 房冠平王俊伟王晓谊
Owner BEIJING HIGHLANDER DIGITAL TECH