2 research outputs found
Phase-based Ranging in Narrowband Systems with Missing/Interfered Tones
The growth in the number of low-cost narrow band radios such as Bluetooth low
energy (BLE) enabled applications such as asset tracking, human behavior
monitoring, and keyless entry. The accurate range estimation is a must in such
applications. Phase-based ranging has recently gained momentum due to its high
accuracy in multipath environment compared to traditional schemes such as
ranging based on received signal strength. The phase-based ranging requires
tone exchange on multiple frequencies on a uniformly sampled frequency grid.
Such tone exchange may not be possible due to some missing tones, e.g.,
reserved advertisement channels. Furthermore, the IQ values at a given tone may
be distorted by interference. In this paper, we proposed two phase-based
ranging schemes which deal with the missing/interfered tones. We compare the
performance and complexity of the proposed schemes using simulations,
complexity analysis, and two measurement setups. In particular, we show that
for small number of missing/interfered tones, the proposed system based on
employing a trained neural network (NN) performs very close to a reference
ranging system where there is no missing/interference tones. Interestingly,
this high performance is at the cost of negligible additional computational
complexity and up to 60.5 Kbytes of additional required memory compared to the
reference system, making it an attractive solution for ranging using
hardware-limited radios such as BLE