Sense through Wall Human Detection using ADALM-Pluto AD9361

Abstract

The research describes the development of an interior target identification system that uses ultra-wideband radars to locate one or more targets in a cluttered environment. The device can gather information about target distances from radar, which can be used to localize and follow one or more targets in real time. One of the most crucial tools for the present wireless transmission system is software-defined radio’s (SDR). An SDR is a radio that uses re-configurable hardware and robust software to apply various modulation and demodulation schemes as well as different standards in the same device, allowing it to tune to any frequency range. In our research Radio Detection and Ranging (RADAR) was used for detection with ultra-wideband frequencies. We can predict the locations and shapes of the targeting object behind the wall because of the ultra-wideband (UWB) radar technology. It is very useful, particularly for uses involving security and relief. We're moving to SDR, the analog device (AD) we used is ADALM-Pluto AD9361, because of UWB. In this experiment, various frequency bands are sent and either captured with or without objects. We create a comparison method that is like autocorrelation after various findings. The research outcomes proved that the program surpassed one without segmentation. With this strategy, UWB radars have an advantage over narrow-band (NB) radars in terms of enhanced data processing flexibility, and as a result, they will be utilized more efficiently and effectively in applications in the real world. Additionally, they demonstrated that it is possible to quickly identify humans using only a brief amount of data. The tools used for experimental setup are GNU Radio, the signal processing block, and Python for Out-of-Tree Module (O-TM).