Scalable indoor positioning system with multi‐band FMCW

Al-Qudsi, Belal; Joram, Niko; El-Shennawy, Mohammed; Ellinger, Frank

doi:10.1049/iet-rsn.2017.0285

Cited by 13 publications

(13 citation statements)

References 18 publications

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“…An FMCW radar transmits frequency chirps in the RF band. By mixing the RX signal with the local or TX signal, a base band signal is created, whose beat frequency is proportional to the distance to a reflecting object [8]. Fig.…”

Section: Fmcw Signalsmentioning

confidence: 99%

“…Until now, IAA was only applied to a synthetic aperture FMCW radar in one publication [5]. For the verification of the performance of the algorithm, the secondary radar modules presented in [8] are slightly modified and reused to implement an FMCW MIMO radar system with a

4 \times 4

antenna array. The hardware is then used to compare conventional DAS beamforming with the proposed IAA under equal conditions in a field test.…”

Section: Introductionmentioning

confidence: 99%

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FMCW multiple‐input multiple‐output radar with iterative adaptive beamforming

Eckhardt

Joram

Figueroa

et al. 2018

IET Radar, Sonar & Navigation

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This work presents the design of a frequency modulated continuous wave (FMCW) multiple-input multiple-output radar system with collocated antennas. A key part of this article is the modification and application of the iterative adaptive algorithm (IAA) for digital beamforming to an FMCW radar system. The implemented system operates in the 2.4 GHz Industry, Scientific and Medical band with 100 MHz of bandwidth and consists of a transmit (TX) site with four antennas and a receive (RX) site with four antennas. The angular resolution is greatly improved from 15° with the common delay-and-sum beamforming to only 5° with IAA beamforming, which was verified by the results from a radar simulator and by a field test with the implemented hardware. The challenge of synchronisation and maintaining phase coherence in systems with remote TX and RX sites is also addressed by proposing a low-frequency clock and trigger distribution system. This approach allows for costefficient systems which can be distributed over longer distances.

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Section: Fmcw Signalsmentioning

confidence: 99%

4 \times 4

antenna array. The hardware is then used to compare conventional DAS beamforming with the proposed IAA under equal conditions in a field test.…”

Section: Introductionmentioning

confidence: 99%

FMCW multiple‐input multiple‐output radar with iterative adaptive beamforming

Eckhardt

Joram

Figueroa

et al. 2018

IET Radar, Sonar & Navigation

Self Cite

View full text Add to dashboard Cite

show abstract

“…The use of multiple data sources may require employing data fusion to produce more consistent and accurate results. Al-Qudsi et al [42] performed a fusion of data from a multi-band frequency modulated continuous wave (FMCW) radar system using a particle filter-based tracking method, and achieved a positioning error of less than 17 cm and 31 cm for outdoor and indoor conditions, respectively, outperforming the commercial systems. Seco and Jimenez [43] combined the RSS of RF signals emitted from known location beacons together with combined with pedestrian dead reckoning (PDR) estimates of user walking.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Type-2 Based Wireless Indoor Localization System for Navigation of Visually Impaired People in Buildings

Almadani

Orujov

Maskeliūnas

et al. 2019

Sensors

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The ability to precisely locate and navigate a partially impaired or a blind person within a building is increasingly important for a wide variety of public safety and localization services. In this paper, we explore indoor localization algorithms using Bluetooth Low Energy (BLE) beacons. We propose using the BLE beacon’s received signal strength indication (RSSI) and the geometric distance from the current beacon to the fingerprint point in the framework of fuzzy logic for calculating the Euclidean distance for the subsequent determination of location. According to our results, the fingerprinting algorithm with fuzzy logic type-2 (hesitant fuzzy sets) is fit for use as an indoor localization method with BLE beacons. The average error of localization is only 0.43 m, and the algorithm obtains a navigation precision of 98.2 ± 1%. This precision confirms that the algorithms provide great aid to a visually impaired person in unknown spaces, especially those designed without physical tactile guides, as confirmed by low Fréchet and Hausdorff distance values and high navigation efficiency index (NEI) scores.

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“…The use of directive antennas was proposed in [1]. Another technique showed that the use of multi‐bands for ranging improves the robustness of FMCW radar systems against interferers [3, 4]; however; the added redundancy increases the cost and the processing time. In [5], FMCW radar with spatial diversity was proposed to reduce multi‐path interferences resulting from ground reflections in automotive radars.…”

Section: Introductionmentioning

confidence: 99%