The Navigation Anti-jamming Resource Optimization Algorithm Implemented Based on Wiener Filtering Structure

Adaptive antenna array technology used to improve the anti-jamming ability of navigation receiver now. Inversion process in adaptive antenna array anti-jamming is complicated in FPGA, which takes up a lot of hardware resources and increases the power consumption of the system. The navigation anti-jamming resource optimization algorithm, which implemented base on wiener filtering (WF) structure, is presented to solve this problem. Firstly, taking the four-channel signal as an example, the model of the traditional power inversion (PI) algorithm is introduced. The fourth-order covariance matrix is inversed by matrix decomposition when power inversion algorithm implements on FPGA. Then, a wiener filtering structure is proposed, which same order as power inversion algorithm. When implementing the wiener filtering algorithm, we only need to use the matrix decomposition to invert the third-order covariance matrix to filter the four-channel signals. Wiener filtering algorithm reduces dimensions of the weight calculation in the matrix inversion, and simplifies the calculation. Numerical simulations show that, power inversion algorithm and wiener filtering structure solve the optimal weight in navigation anti-jamming has equivalence. Moreover, through resource comparison after synthesize and implement, it can be seen that all resources in FPGA have been significantly reduced.