Sensors data fusion architecture over MIMO: Case study of quad copter

Abstract

Nowadays wireless communication systems use multiple antennas at transmitting and receiving end to offer improved capacity and data rate over single antenna systems in multipath channels. MIMO channels provide a number of advantages over conventional Single Input Single Output (SISO) channels such as the array gain, the diversity gain, and the multiplexing gain. In this paper we have introduced sensor level Data Fusion for 2X2 MIMO system. We have discussed generalized MIMO systems wherein the signals on the transmitting (Tx) antennas and the receiving (Rx) antennas for the quality (bit-error rate or BER) or the data rate (bits/sec) of the channel for each MIMO. We focus on the Spatial Multiplexing technique of MIMO systems. Here different fading channels like AWGN are used for analysis purpose. The 2X2 MIMO system performance is analyzed in terms of BER (bit error rate) v/s SNR (signal to noise ratio). The system is customized for the Quadcopter for the sensors, like gyrometer, accelerometer and temperature to transmit them over the wireless channel for optimum bandwidth utilization. The said system is demonstrated for the proper BER over RC-channel at bandwidth of 2.4GHz over RF frequency of 3-30MHz.