%0 Generic
%D 2011
%T A Compressive Sampling Approach to Narrowband Interference Elimination for GNSS
%A 張仲良
%A 黃國興
%C Sdyney
%U http://www.ignss.org/Conferences/IGNSS2011Conference/2011ConferenceImportantDatesInformation/tabid/63/Default.aspx
%X In this paper, the scenario where a modified compressive sampling algorithm acquires global navigation satellite system (GNSS) signal contaminated by an interfering signal is presented. Note that if the interfering signal exists in a known subspace orthogonal to the desired signal, the compressive measurements are projected into an orthogonal subspace and then the interference is nulled out. Besides, the interference cancellation method keeps the restricted isometry property (RIP) property of the sampling process which assures that distances between desired signals in the space are not influenced by the sampling process. Therefore, the state embedding of desired signal stays in the compressive domain and the proposed method remains robust in term of measurement noise and sampling non-idealities. The simulation result shows that the proposed method can enhance signal acquisition performance under the present of interference. It is shown that cancelling the interference in the compressive sampling process is helpful in subsequent signal acquisition in contrast to the fast Fourier transform (FFT)- based excisor approach.
%8 Nov 15 2011 12:0