Beidou satellite signal interference detection method based on dynamic reverse learning improved state space model

The invention discloses a Beidou satellite signal interference detection method based on a dynamic reverse learning improved state space model, and the method comprises the steps: firstly building the relation between a received signal and other signal components according to the received signal composition of a correlator; then, according to the signal composition relationship, taking a receiving signal of the correlator as an observation vector and taking an interference signal as a state vector, establishing a state space model for interference detection of the Beidou satellite signal; meanwhile, a dynamic boundary is determined through a range boundary and a domain boundary of an interference signal, a reverse state equation is established according to the dynamic boundary, and the model searching capability is improved; and finally, improving the state space model by using a reverse state equation, performing bidirectional search in the state space model, expanding the parameter search range, and improvi