Interference suppression using adaptive filtering techniques : a case study of speech signals | |
| Author | Nayak, Amit Prasad |
| Call Number | AIT RSPR no.TC-16-09 |
| Subject(s) | Telecommunication systems Speech processing systems Peer-to-peer architecture (Computer networks) |
| Note | A research submitted in partial fulfillment of the requirements the degree of Master of Engineering in Telecommunications |
| Publisher | Asian Institute of Technology |
| Abstract | In modern telecommunication networks, the primary objective of a system designer is to provide distortion free communication between two users in a network. But due to some unavoidable factors like interference and noise, the objective is not fulfilled. Out of these two, interference is one of the crucial factors responsible for degradation of system performance in wireless communication networks. Since traditional filters cannot remove noise or interference present in the signal, we have to come up with a different idea to cope with this. The objective of this research is to observe the effect of noise, flat Rayleigh fading, frequency selective fading which generate Inter-Symbol Interference (ISI) and interfering signals which generate Co-Channel interference (CCI) on a speech signal in a wireless network and how to suppress it. In this research report, we use different adaptive filtering techniques invented by scien-tists to suppress the interference occurring in various wireless networks. We have used adaptive algorithms like Least Mean Squares (LMS), Normalized Least Mean Squares (NLMS), Affine Projection Algorithms (APA) and Recursive Least Squares (RLS) in these filters to achieve our objective. So in this interference suppression technique we need two input signals - a primary input which contains noise, fading and interference along with the original speech signal and a reference input which contains uncorrelated noise, fading and interference with respect to its primary counterparts. For modula-tion Quadrature Phase Shift Keying (QPSK) technique is used on the speech signals. Furthermore, the comparison between different adaptive filtering techniques are shown to determine which one is better for interference suppression |
| Year | 2016 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Telecommunications (TC) |
| Chairperson(s) | Attaphongse Taparugssanagorn; |
| Examination Committee(s) | Teerapat SanguankotchakornMongkol Ekpanyapong; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Research Studies Project Report (M.Eng.) - Asian Institute of Technology, 2016 |