Kalman Filter for MIMO OFDM Highly Noise Resistive Communication
Bharti Tiwari1, Papiya Dutta2, Neha Shrivastava3

1Bharti Tiwari, M.Tech Scholar, Gyan Ganga College of Technology, Jabalpur (M.P), India.
2Papiya Dutta, Asst. Prof. & HOD, Gyan Ganga College of Technology, Jabalpur (M.P), India.
3Neha Shrivastava, Asst. prof, Gyan Ganga Institute of Technology & Sciences, Jabalpur (M.P), India.

Manuscript received on October 11, 2013. | Revised Manuscript received on October 15, 2013. | Manuscript published on October 25, 2013. | PP: 97-99 | Volume-1, Issue-12, October 2013. | Retrieval Number: K04430911113/2013©BEIESP

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© The Authors. Published By: 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: Signals are carriers of information, both useful and unwanted. Extracting or enhancing the useful information from a mix of conflicting information is a simplest form of signal processing. Acoustic noise problems becomes more pronounce as increase in number of industrial equipment such as engines, transformers, compressors and blowers are in use. An adaptive filter is a filter that self-adjusts its transfer function according to an optimization algorithm driven by an error signal. Adaptive filtering is a wide area of researcher in present decade in the field of communication. Adaptive noise cancellation is an approach used for noise reduction in speech signal. This paper works we presents an algorithm for performing effective channel estimation for multiple inputs multiple outputs (MIMO), the channel estimation is performed using an proposed Extended Kalman Filter (EKF).
Keywords: Filter, MIMO, OFDM, Highly Noise Resistive, Communication.