###### Abstract
The ARO uses bypass foraging and random hiding for population activities, whereas the cave Oryctolagus cuniculus algorithm uses the mechanism of predator killing and cave fleeing. First, it uses a wide range of population behaviour to search, so the Oryctolagus cuniculus algorithm has a strong global search ability. Secondly, the zone competition ensures the processing efficiency of the algorithm. In addition, the setting of the safety zone can have a good ability to reduce the dimension when dealing with multidimensional problems and improve the global ability of the algorithm. The Oryctolagus cuniculus king maintenance mechanism makes the algorithm converge faster. Compared with the SSA, OCA does not easily fall into local optimization, has fewer parameters in the experimental process, and has strong stability, all of which have great research significance. Figure 1 is a schematic diagram of the celestial velocimetry navigation. Deep space exploration technology is an important indicator of a country's overall national strength and scientific and technological development level. The celestial navigation measurements include the angle measurement, the distance measurement, and the velocity measurement. The angle measurement is the most conventional method of celestial navigation, but its accuracy is limited by the inability to directly provide the bearing information of the target object. The distance measurement, namely X-ray pulsar navigation, has broad prospects in deep space exploration [36; 37; 38]. The velocity measurement uses a spectrograph to measure the frequency shift of the solar spectrum. The traditional solar Doppler velocimetry navigation does not consider the stability of the solar spectra. It can only provide high-precision positioning and velocimetry information under a stable solar light source. Nevertheless, in practice, the solar spectra are not stable. The reason is that solar activity leads to the distortion of the solar spectra, so we propose a new solar Doppler difference velocimetry navigation. Solar Doppler difference velocimetry navigation can reduce or eliminate the influence of spectral distortion caused by solar activity on velocimetry and improve navigation accuracy. In 2015, in order to resist the velocity deviation caused by solar spectral disturbance, [PERSON] proposed a solar light Doppler difference velocimetry method, which uses the Doppler difference velocity of reflected light from the sun and Mars. This method has a suppressing effect on the common deviation caused by spectral perturbation [39]. However, this celestial Doppler difference measurement method changes the measurement model. Considering factors such as the overlap ratio of the zone of the direct and reflected solar light sources, the diffusion effect of the time difference of light arrival (TDOA), the direction of the solar rotation axis, the differential solar rotation, and the Lambert radiator, [PERSON] established a near-real solar difference deviation model [40; 41; 42]. However, due to the instability of the astronomical spectra, the spectral velocity estimation method of the ground station has some defects, such as low accuracy and instability, which affect velocimetry navigation. In order to solve this problem, the velocimetry difference between the solar direct spectrum and the planetary reflectance spectrum is used as the navigation measurement. Because the common deviation is eliminated, the accuracy of the velocity difference measurement is high. The spectra reflectance template inversion method of celestial Doppler difference measurement can reduce the negative impact of the planetary surface absorption effect on velocimetry accuracy. This method uses EMD (empirical mode decomposition) to decompose the measured solar spectra and asteroid spectra, and the corresponding IMFs (intrinsic mode functions) are obtained. The spectra reflectance template inversion method of celestial Doppler difference measurement can reduce the negative impacts of the asteroid surface absorption effect on velocimetry accuracy.