关键词: GPS接收机, Householder变换, 广义旁瓣相消, 最小均方误差算法

Abstract:

The adaptive Generalized Sidelobe Canceller(GSC) always employs the least-mean-square(LMS) algorithm for weight adaptation. In the GPS receiver, real adaptive interference suppression can not be satisfied by this algorithm because of its slow convergence rate, especially at the very low signal-to-noise ratio(SNR). Since the convergence behavior of the LMS algorithm is highly dependent on the eigenvalue spreads of the covariance matrix of the blocking matrix output, we present a novel Householder-based fast adaptive interference suppression approach. Householder transformation can be employed for the design of the blocking matrix of the GSC, which will block not only the desired signal but also accelerate the convergence rate of the LMS algorithm. Therefore, it can also maximize the output SINR and significantly improve the performance of the anti-jammer GPS receiver. Theoretical analysis and simulation results demonstrate the superiority of the proposed structure.

Key words: GPS receiver, householder transformation, generalized sidelobe canceller(GSC), least-mean-square(LMS) algorithm