Abstract
In this paper, the method of applying cognitive radar technology to marine radar is studied, and the cognitive marine radar structure and transmitted signal model with three control parameters are constructed. The selection method of waveform control parameters, which is based on the target spatial distribution and the reference target detection effect with the minimum emission energy as the criterion, is given. The transmission signal control selection method given in this paper can flexibly realize different emission signal groups of groups by independently setting the values m, n and p of three control parameters. It does not require radar hardware circuit reconstruction to meet the radar waveform changes. This is more convenient for the technical realization of cognitive marine radar. According to the method of this paper, a cognitive marine radar test system was constructed. The experimental results show that the proposed radar could reduce the emission energy by 15.9 dB compared with the traditional fixed-parameter pulse compression marine radar under the experimental conditions.
Highlights
At present, marine radars always operate in a fixed parameter mode
This paper studies a key technology and a method, which is to apply the technical idea of cognitive radar to marine radar, and how the method realizes cognitive marine radar
In the cognitive control stage of transmitting signal, according to the target spatial distribution and water geographical environment recognized by radar scene perception stage and Automatic Identification System (AIS) auxiliary information, control parameters are selected to control the radar transmitting signal and make it match with the ( j) radar working environment
Summary
Marine radars always operate in a fixed parameter mode. These parameters, such as transmit pulse width and pulse repetition frequency, are only related to the working range, and are completely independent of factors such as target spatial distribution and working water characteristics. The highest radar operating efficiency and the lowest impact on the environment can be obtained [13,14] To this end, in [15], two metrics for quantifying target tracking performance of cognitive radar are proposed, namely combined cumulative squared deviation (CCSD) and cumulative coherent processing interval (CCPI). In [15], two metrics for quantifying target tracking performance of cognitive radar are proposed, namely combined cumulative squared deviation (CCSD) and cumulative coherent processing interval (CCPI) These two metrics can be used to optimize radar signal transmission parameters to determine the pulse repetition frequency (PRF) and associated time interval that match the environment.
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