Fuzzy volume Kalman filtering-based single-station passive navigation method

Abstract

The invention discloses a fuzzy volume Kalman filtering-based single-station passive navigation method. The method comprises the steps of: establishing a fuzzy passive navigation model through a fuzzypossibility distribution method; and on the basis of the fuzzy passive navigation mode, importing a volume Kalman filtering algorithm to form a fuzzy volume Kalman filtering algorithm, and carrying out filtering correction on system state to carry out high-precision positioning navigation. According to the method, the fuzzy passive navigation model is established through importing the fuzzy method; the model preferably utilizes expert experiences and requires fewer priori knowledges, so that an exact analysis model does not need to be established; through further combining the advantages of the volume Kalman filtering algorithms in the aspects of high dimension and non-linearity, the problems that systems are uncertain and system models cannot be correctly established can be effectively solved, and the problem of high nonlinearity and high-order state in passive navigation can be effectively solved, thereby improving the applicability of passive navigation under complicated conditions.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of passive navigation, in particular to a single-station passive navigation method based on fuzzy volumetric Kalman filtering. Background technique [0002] With the complexity of the battlefield situation and the emergence of various new means of warfare, how to improve the adaptability and navigation accuracy of aircraft navigation has important theoretical significance and urgent practical needs. The inertial navigation system is the main way of navigation at present. It has the advantages of autonomy and strong anti-interference ability, but it also has the disadvantages of positioning errors accumulating over time and the price of equipment is relatively expensive. [0003] As the main auxiliary navigation of inertial navigation—satellite navigation system, such as: the "Global Positioning System" of the United States, the "Global Orbit Navigation Satellite System" of Russia, the "...

AI Technical Summary

Problems solved by technology

[0009] However, in the long-term engineering practice, people have gradually realized that: due to the limited prior knowledge available for single-station passive navigation, the system is highly uncertain and sensitive to noise interference

Moreover, in most practical situations, when cruise missiles fly in other countries, the exact statistical characteristics of the environment, temperature, etc. are simply not available

Therefore, an accurate system model cannot be established, which will reduce the navigation accuracy

During the flight of cruise missiles, maneuvering flight inevitably occurs, which leads to uncertain state equations; on the other hand, due to the complexity of the external environment, interference, communication interruption, equipment not adjusted to the best working state, environmental conditions change, power Instability, human error, etc. cause abnormalities in the measurement, recording or transmission of equipment

These data anomalies (such as singular values ​​in observation data or partial loss of observation data) will lead to reduced navigation accuracy, or even failure to navigate

All of these lead to the problem of long positioning time, large positioning deviation and poor stability in the filtering algorithm, which is also the main problem faced by the current passive positioning filtering technology.

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