Research On Aircraft Attitude And Heading Estimation Based On Electromagnetic Wave Three-dimensional Structure Vector

Attitude information is of great significance for the operation of moving platforms(such as vehicles,aircraft,space vehicles,etc.).Therefore,how to determine the platform’s three-dimensional(3-D)attitude information cost-effectively and reliably has become a hotspot in the field of navigation.The multi-point reception and triangulation methods brought by the development of electromagnetic wave information technology make use of information more fragmented,and the measurement results are more inaccurate.With the research of the polarization-sensitive array motion platform,the wave structure vector is more reliable as the reference result for attitude measurement,which makes up for the lack of spatial reference.This article mainly uses the wave structure vector as a reference.The aircraft uses the EMVS loaded by itself to receive the electric and magnetic field information of the navigation signal,and estimates its attitude in the geodetic coordinate system.At present,the full electromagnetic vector sensor has below defects: high cost,severe interconnection and massive computational complexity.Therefore,a defective electromagnetic vector sensor is used to receive the attitude estimation in this thesis.This thesis proposes an aircraft attitude estimation method using the 3-D structure vector of electromagnetic wave as a reference.In order to obtain the gradient of the received signal and the installation position of these sensors,establishing an array steering vector for an aircraft carrying multiple defective EMVS.Then with Cooperative navigation of multiple signals and MUSIC algorithm to calculate the spatial spectrum maximum,which achieve the platform attitude measuring.Through experiments analysis that the number of EMVS and signal sources when the aircraft attitude estimation is successfully achieved.Then it is proposed that on the premise that the EMVS receives six-dimensional complete information,and through the mapping of stable spatial clutter as the attitude reference,the attitude parameters can also be estimated.This method can work in any frequency band,it is more flexible,and the channel selection range is more lager.This paper studies the key algorithm and program design of attitude measurement receiver,which mainly includes C/A code decoding and GPS signal acquisition and tracking.This paper proposes a matching calculation method that makes full use of the navigation signals,and establishes a GPS platform and a vector sensor to receive the navigation signal model on the motion platform.The GPS signals are used to synchronize the navigation signals to calculate the matching and superposition of the satellite signals in real-time attitude.The resulting steering vector forms the array data,and then the sensors are matched and superimposed to receive the satellite signals.The attitude is obtained after a three-dimensional search.Real-time calculation can be achieved by using the FPGA platform.In this method,the number of signal sources is sufficient,the measurement accuracy of multiple sensors is higher,and the platform is wider.