AUTOMATIC BOTTLE FILLING AND FIRE DETECTION SYSTEM USING RASPBERRY PI

Authors

  • SK Munwar Ali
  • SK Mona
  • SK Farmanulla

Keywords:

PLC, Raspberry Pi, Python, Internet of Things, LCD, Pi camera, Haar cascade GUI trainer

Abstract

In order to improve the FBMC/OQAM system, this paper suggests a new preamble design and an associated channel estimation method. The results of FBMC are fed into STBC-based Massive MIMO systems to lower error rates and power-related problems. The frame's extensive preamble structure was constructed using the Zadoff chu sequence. Results show that the suggested approach outperforms the conventional preamble structure with respect to spectrum efficiency and reduced PAPR values. In addition to being simple to execute, the suggested technique achieves high BER performance in terms of signal-to-noise ratio and mean squared error for the timing offset and frequency offset that are connected with it. Thus, it is immediately usable by cutting-edge mobile networks such as 5G.

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Published

2024-07-17

Issue

Section

Articles