Low Inter Symbol Interference SDR Receiver using LMS Algorithms
Majid S. Naghmash1, M d Hussein Baqir2, Mousa Kadhim Wali3
1Majid S. Naghmash, M. sc. Degree in the Satellite Communication Engineering from University of Technology Baghdad, Iraq.
2Mohammed Hussein, Lecturer at the College of Engineering Electronic and Communications, University of Technology Baghdad, Iraq.
3Mousa Kadhim Wali, Received the B.Sc. Degree in Electrical Engineering from University of Technology Baghdad, Iraq.
Manuscript received on January 20, 2014. | Revised Manuscript received on February 13, 2014. | Manuscript published on February 28, 2014. | PP: 342-348 | Volume-3, Issue-3, February 2014. | Retrieval Number: C2738023314/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, the low Inter Symbol Interference (ISI) Software Defined Radio (SDR) receiver using Least Mean Square (LMS) algorithms is developed and investigated. The transmission medium will distort the incoming digital signals and the aim of the (LMS) is to remove the effect of Inter Symbol Interference (ISI) in the Software Defined Radio (SDR) receivers. The resulting of this process is an important act in digital signal processing performance techniques. The development of adaptive equalizer to follow the raped growth in modern information systems is the key of error reduction. To increase the data transmission rate, an efficient adaptive equalizer should be used in radio communication systems. In this paper, the channel selection LMS equalizer filter is developed to eliminate the ISI from the software defined radio (SDR) receiver channel. The LMS equalizer is presented and investigated according to MATLAB simulation. The proposed equalizer shows better performance than the conventional filter with AWGN distortion and inters symbol interference (ISI). The results show a promising basis for rising code, algorithms in 16-QAM modulation scheme.
Keywords: LMS, ISI, SDR Receiver, 16-QAM.