An RF network combiner towards a wireless multi-communication system for smart households

Majer, Libor; Mihalov, Jozef; Stopjaková, Viera; Zalusky, Roman; Brenkuš, Juraj; Uram, Matej

doi:10.1109/ae.2014.7011699

Cited by 1 publication

(2 citation statements)

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“…A sliding window can be used to simplify the computation, as shown in Figure 5. At every time instant n, one new value enters the window and one old value is discarded, so m n is calculated by a moving sum of received signal energy by Equation (2). Therefore, the number of complex multiplications per m n is reduced to one received sample.…”

Section: Received Signal Energy Detectionmentioning

confidence: 99%

“…To manage the home appliances intelligently and automatically, a centralized automatic control system is used to remotely manage these smart devices, which can be seen as IoT distributed sensor nodes. We can use mobile devices or computers to control them conveniently with local area network (LAN) servers [2]. Therefore, remote control is the future trend for smart home systems [3], and communication technology is the key to building a home automatic control system.…”

Section: Introductionmentioning

confidence: 99%

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Research on IEEE 802.11 OFDM Packet Detection Algorithms for Household Wireless Sensor Communication

2022

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Millions of smart home devices equipped with wireless sensors have gradually entered people’s homes and improved the quality of life. Wireless communication with sensors is crucial for remote automatic control of smart devices. Packet detection is one of the key technologies in wireless communication systems and faces the challenges of detection accuracy and power consumption. In households, WiFi devices are widely deployed. Therefore, we focus on IEEE 802.11 OFDM packet detection algorithms for household wireless sensor communication. We first introduce four packet detection algorithms and verify their feasibility by simulation experiments. Then, we identify two important factors that affect detection accuracy and provide suggestions for algorithm improvement. Further, we compare and discuss the performance of the four algorithms from three dimensions in detail. The results show that each algorithm has its own advantages, and the auto-correlation algorithm has the best overall performance. Finally, we point out the open challenges and future research directions in this field.

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Section: Received Signal Energy Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%