Efficient Multipath Searching to Improve Acquisition Probability in TDD-CDMA

Teager-Kaiser operator as an energy nonlinear filter has been shown to efficiently extract features to enhance noisy signal recognition. This paper studies its application on multipath searching without a priori knowledge of channel parameter space. The characteristics of TK operation on the classical Steiner channel estimation are analyzed and simulation results show its capability of separating closely spaced multi-paths while reducing noise.