The invention provides an unmanned aerial vehicle dual-polarized antenna
multipath interference suppression and polarization mismatch joint optimization
algorithm, and relates to the technical field of low-altitude communication, and the
algorithm carries out the
coupling modeling of a
multipath interference problem and a polarization mismatch problem through building a unified dual-polarized channel model which considers
multipath propagation and time-varying polarization characteristics; an adaptive polarization state
estimation method based on received
signal covariance matrix feature analysis is provided; a combined space-time-polarization domain
adaptive filter structure is designed; a joint optimization objective function containing a
minimum mean square error and a maximum polarization matching degree (MPM) is constructed; a low-complexity adaptive weight updating rule based on a recursive least square (RLS) thought and integrated with polarization constraints is deduced. According to the
algorithm, interference suppression and polarization matching are collaboratively optimized through a unified framework, the complexity is reduced by adopting recursive calculation,
rapid convergence and strong environmental adaptability are realized, and the low-altitude communication performance of the unmanned aerial vehicle is remarkably improved.