Design a low-power low-pass nano dimension based filter with high linearity for next-generation WSN

Abstract

Wireless Sensor Networks (WSN) has received a lot of attention from around the world in the past year due to its broad application in the military, industrial, environmental sense, and other areas. WSNs are a crucial component of the Internet of Things (IoT) ecosystem. As the IoT continues to grow, WSNs will play a vital role in collecting real-time data from sensors and transmitting it for analysis and decision-making. WSNs will enable smart cities, industrial automation, environmental monitoring, healthcare systems, and more.2.4 GHz, 868 MHz, and 433 MHz are some examples of the low radio frequencies that WSN frequently use to operate. Researching and developing RF transceiver chips for the WSN system is very important. Low Pass Filters (LPF) a crucial component of the wireless sensor network chip will have a direct impact on the system as a whole. In WSNs, LPF can help to increase data transmission reliability and efficiency, especially when numerous nodes are transmitting data at once. However, the passive forms of LPFs in contemporary devices suffer greatly from a number of problems, including poor quality components, a limited ability to tune, undesirable harmonic interference, and a huge die size. Instead, some of these constraints can be overcome by active low pass filter types. Therefore, this research presents current-mode LC-ladder filter with improved linearity and dynamic range. We have taken 130 nm RF CMOS technology node at 1.2 V process to simulate LC-ladder filter using ADS Tool from Keysight. For improving the linearity of the LPF, OTA is also proposed with high output voltage swing and classical filter topology's transconductor are rewired. By combining each method filter demonstrates better results in terms of linearity that is P1dB -30dBm and IIP3 20dBwith dynamic range greater than 56dBm.