Analyzes of Chirps Spread Spectrum of ES920LR LoRa 920 MHz

Abstract

One of the essential things in research using LoRa apart from the Internet of Things platform is that specific Chirps signals can be seen using a LoRa signal analyzer. Chirps is a type of signal in the form of Radar generated by LoRa during the communication process between LoRa at a certain frequency; in this research, using types of 920 MHz frequencies using the ES920LR type of LoRa, which is compatible in Japan. This research needs to be carried out in order to know the LoRa performance seen from the resulting Chirps signal, and in this research, the focus is to discuss the LoRa Chirps. In the current study, Chirps can be analyzed with MatLab programming. This research will compare signal chirps using MatLab programming and direct observations with Signal Analyzer; In conducting further studies, observations were made from the results of 2-way or more communication from the LoRa. And the possibility of analyzing the possible Symbol error rate of LoRa communication and the number sample of LoRa with various values of Spreading Factor (SF) and Bandwidth. Chirps Spread Spectrum (CSS) ES920LR LoRa is influenced by two critical parameters, i.e., Spreading Factor (SF) and Bandwidth (BW). The greater the Spreading Factor, the greater the number of samples produced starting from SF 7 with the number of samples generated being 250, SF 8 produces a number of samples 500, SF 9 produces a number of samples 1000, SF 10 produces number samples 2000, SF 11 produces number samples 4000, and SF12 produces a number of samples 8000. With a symbol error rate of 0.9-1