Characterization of Image Receivers for Optical Wireless Location Technology

In this letter, image receivers are characterized to address the challenges of indoor positioning with optical wireless location systems. Image receivers are studied according to their field-of-view (FOV) characteristics: 1) the first image receiver uses a wide-FOV (95°) microlens and 2) the second image receiver uses an ultrawide-FOV (130°) microlens. An angle of arrival characterization of the image receiver is used to quantify azimuthal, φ, and polar, θ, angles of incident light from optical beacons. A dilution of position (DOP) characterization is used to quantify geometrical effects of the optical beacon distribution. It is found that the ultrawide-FOV microlens (with a mean positioning error of 1.5 cm) can better image widely separated optical beacons, and thus operate at a lower DOP, compared with the wide-FOV microlens (with a mean positioning error of 3.2 cm).

[1]  Joseph M. Kahn,et al.  Imaging diversity receivers for high-speed infrared wireless communication , 1998, IEEE Commun. Mag..

[2]  中川 正雄,et al.  Pervasive Visible Light Positioning System using White LED Lighting , 2004 .

[3]  Andrew G. Dempster,et al.  Dilution of precision in angle-of-arrival positioning systems , 2006 .

[4]  S. Randel,et al.  Broadband Information Broadcasting Using LED-Based Interior Lighting , 2008, Journal of Lightwave Technology.

[5]  Harald Haas,et al.  Indoor broadcasting via white LEDs and OFDM , 2009, IEEE Transactions on Consumer Electronics.

[6]  Shuji Hashimoto,et al.  Autonomous Mobile Robot Navigation Using Passive RFID in Indoor Environment , 2009, IEEE Transactions on Industrial Electronics.

[7]  Guenther Retscher,et al.  Continuous indoor navigation with RFID and INS , 2010, IEEE/ION Position, Location and Navigation Symposium.

[8]  Harald Haas,et al.  Indoor optical wireless communication: potential and state-of-the-art , 2011, IEEE Communications Magazine.

[9]  Ki-Doo Kim,et al.  Indoor Positioning by LED Visible Light Communication and Image Sensors , 2011 .

[10]  Jae-Bok Song,et al.  Monocular Vision-Based SLAM in Indoor Environment Using Corner, Lamp, and Door Features From Upward-Looking Camera , 2011, IEEE Transactions on Industrial Electronics.

[11]  K D Dambul,et al.  Indoor Optical Wireless MIMO System With an Imaging Receiver , 2011, IEEE Photonics Technology Letters.

[12]  Ke Wang,et al.  High-Speed Optical Wireless Communication System for Indoor Applications , 2011, IEEE Photonics Technology Letters.

[13]  Xian Jin,et al.  Wireless Indoor Optical Positioning With a Differential Photosensor , 2012, IEEE Photonics Technology Letters.

[14]  Kusha Panta,et al.  Indoor localisation using white LEDs , 2012 .

[15]  Chang-Soo Park,et al.  Optical wireless indoor positioning system using light emitting diode ceiling lights , 2012 .

[16]  Xian Jin,et al.  Microlenses with tuned focal characteristics for optical wireless imaging , 2014 .

[17]  Muhammad Adeel Pasha,et al.  Highly accurate 3D wireless indoor positioning system using white LED lights , 2014 .

[18]  Deva K. Borah,et al.  A Single-Input Multiple-Output Optical System for Mobile Communication: Modeling and Validation , 2014, IEEE Photonics Technology Letters.