An Improved Reduced Rank Algorithm Based on GSC
Ge Pei · Radar Science and Technology · 2012
Dealing with large array with many elements,a good way to solve the problem of large computational complexity is reduced-rank adaptive filtering.The reduced-rank transformation adaptive filtering in the Generalized Sidelobe Canceller(GSC) structure is the uniform model for reduced rank adaptive filtering algorithms.Several reduced rank adaptive filtering algorithms based on GSC structure are analyzed.When the number of reduced rank is larger than that of the jamming,the sidelobe rises and the performance of the system declines.To solve the problem,a new algorithm based on GSC is proposed.It uses eigen-subspace to improve the blocking matrix in GSC structure,then makes use of improved blocking matrix to perform the reduced-rank adaptive filtering.The simulations prove that the new algorithm can lower the sidelobe and form a better beam pattern.The robustness of GSC structure is improved.