Autocorrelation Phase Measurement of Spread Spectrum Signal for High Precision Indoor Microwave Positioning

2015 ◽  
Vol 734 ◽  
pp. 31-39
Author(s):  
Wen Yang Cai ◽  
Gao Yong Luo

The increasing demand for high precision indoor positioning in many public services has urged research to implement cost-effective systems for a rising number of applications. However, current systems with either short-range positioning technology based on wireless local area networks (WLAN) and ZigBee achieving meter-level accuracy, or ultra-wide band (UWB) and 60 GHz communication technology achieving high precision but with high cost required, could not meet the need of indoor wireless positioning. This paper presents a new method of high precision indoor positioning by autocorrelation phase measurement of spread spectrum signal utilizing carrier frequency lower than 1 GHz, thereby decreasing power emission and hardware cost. The phase measurement is more sensitive to the distance of microwave transmission than timing, thus achieving higher positioning accuracy. Simulation results demonstrate that the proposed positioning method can achieve high precision of less than 1 centimeter decreasing when various noise and interference added.

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2057 ◽  
Author(s):  
Wooseong Kim

Millimeter wave (mmWave) vehicle-to-vehicle (V2V) communications has received significant attention as one of the key applications in 5G technology, which is called as Giga-V2V (GiV2V). The ultra-wide band of the GiV2V allows vehicles to transfer gigabit data within a few seconds, which can achieve platooning of autonomous vehicles. The platooning process requires the rich data of a 4K dash-camera and LiDAR sensors for accurate vehicle control. To achieve this, 3GPP, a global organization of standards that provides specifications for the 5G mobile technology, is developing a new standard for GiV2V technology by extending the existing specification for device-to-device (D2D) communication. Meanwhile, in the last decade, the mmWave spectrum has been used in the wireless local area network (WLAN) for indoor devices, such as home appliances, based on the IEEE 802.11ad (also known as Wireless Gigabit Alliance (WiGig)) technology, which supports gigabit wireless connectivity of approximately 10 m distance in the 60-GHz frequency spectrum. The WiGig technology has been commercialized and used for various applications ranging from Internet access points to set-top boxes for televisions. In this study, we investigated the applicability of the WiGig technology to the GiV2V communications through experiments on a real vehicular testbed. To achieve this, we built a testbed using commercial off-the-shelf WiGig devices and performed experiments to measure inter-vehicle connectivity on a campus and on city roads with different permitted vehicle speeds. The experimental results demonstrate that disconnections occurred frequently due to the short radio range and the connectivity varied with the vehicle speed. However, the instantaneous throughput was sufficient to exchange large data between moving vehicles in different road environments.


Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3662
Author(s):  
Huiqing Zhang ◽  
Yueqing Li

Smartphones are increasingly becoming an efficient platform for solving indoor positioning problems. Fingerprint-based positioning methods are popular because of the wide deployment of wireless local area networks in indoor environments and the lack of model propagation paths. However, Wi-Fi fingerprint information is singular, and its positioning accuracy is typically 2–10 m; thus, it struggles to meet the requirements of high-precision indoor positioning. Therefore, this paper proposes a positioning algorithm that combines Wi-Fi fingerprints and visual information to generate fingerprints. The algorithm involves two steps: merged-fingerprint generation and fingerprint positioning. In the merged-fingerprint generation stage, the kernel principal component analysis feature of the Wi-Fi fingerprint and the local binary pattern features of the scene image are fused. In the fingerprint positioning stage, a light gradient boosting machine (LightGBM) is trained with mutually exclusive feature bundling and histogram optimization to obtain an accurate positioning model. The method is tested in an actual environment. The experimental results show that the positioning accuracy of the LightGBM method is 90% within a range of 1.53 m. Compared with the single-fingerprint positioning method, the accuracy is improved by more than 20%, and the performance is improved by more than 15% compared with other methods. The average locating error is 0.78 m.


2016 ◽  
Vol 25 (08) ◽  
pp. 1650092 ◽  
Author(s):  
Jingjing Wang ◽  
Wei Shi ◽  
Xinjie Wang ◽  
Lingwei Xu ◽  
Qiuna Niu ◽  
...  

60[Formula: see text]GHz communication technology is a type of short-range and high-speed wireless communication technology, which is currently considered the most promising one because it has a very high time and multi-path resolution. Therefore, it has the potential to achieve high-precision ranging and positioning. At present, carrier communication system like orthogonal frequency division multiplexing (OFDM) or single carrier techniques using frequency domain equalization (SC-FDE), etc., are mostly used in 60[Formula: see text]GHz communication system. Furthermore, accurate wireless positioning systems is mostly based on impulse radio. We propose a pulse positioning system in 60[Formula: see text]GHz band to meet the requirements of high-precision positioning. A pulse waveform suitable for 60[Formula: see text]GHz positioning is presented, meanwhile the positioning process of pulse transmitting, channel transmission, pulse receiving and coordinates calculation using positioning algorithm is also designed and simulated. The results show that the 60[Formula: see text]GHz pulse system has millimeter-level ranging accuracy and centimeter-level positioning accuracy in line-of-sight (LOS) channel, in addition the accuracy is much higher than that in ultra-wide band (UWB) pulse system.


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