Performance Analysis of Adaptive Filter Channel Estimated MIMO OFDM Communication System

Abstract

Advanced Communication Systems are wideband systems to support multiple applications such as audio, video and data so and so forth. These systems require high spectral efficiency and data rates. In addition, they should provide multipath fading and inter-symbol interference (ISI) free transmission. Multiple input multiple output orthogonal frequency division multiplexing (MIMO OFDM) meets these requirements Hence, MIMO-OFDM is the most preferable technique for long term evaluation advanced (LTE-A). The primary objective of this paper is to control bit error rate (BER) by proper channel coding, pilot carriers, adaptive filter channel estimation schemes and space time coding (STC). A combination of any of these schemes results in better BER performance over individual schemes. System performance is analyzed for various digital modulation schemes. In this paper,adaptive filter channel estimated MIMO OFDM system is proposed by integrating channel coding, adaptivefilter channel estimation, digital modulation and space time coding. From the simulation results, channel estimated 2×2 MIMO OFDM system shows superior performance over individual schemes.

Indexed-channel estimation under frequency and time-selective fading channels in high-mobility systems

“…Pilot estimation based on sending pilot symbols is examined in [13] for bad urban, typical urban and rural areas. In adaptive filter-based channel estimation, combining channel estimation and space-time coding can improve channel estimation process [14]. Pilot-assisted channel estimation techniques with least-square (LS) or minimum mean-squared error (MMSE) are widely used [15], [16].…”

Orthogonal frequency division multiplexing system with an indexed-pilot channel estimation

“…However, in terms of performance, the MMSE estimator out performs the LS [13] [15]. An adaptive filter channel estimation scheme for multiinput-multi-output OFDM (MIMO-OFDM) systems is proposed in [16], where the authors show that the performance of MIMO-OFDM systems improves when coding and channel estimation are combined. The idea behind index modulation is to improve the system spectral efficiency by sending extra information bits using: the indices of active subcarriers, the indices of transmitting or receiving antennas, or the index of matched impedance between the transmitter and receiver [17] [19].…”