Utilization of Multiple Antennas for Positioning

Part of the Navigation: Science and Technology book series (NASTECH)


Radio-based positioning performance is affected by a range of factors such as radio propagation conditions, node configurations, location determination algorithms, signal design, and signal parameter estimation. To improve positioning accuracy various algorithms and techniques have been developed, among which is the utilization of multiple antennas. If transmitter nodes, receiver nodes (or both) are equipped with multiple antennas, appropriate signal processing algorithms can be exploited to determine the location of a mobile node. This chapter provides a comprehensive coverage on the utilization of multiple antennas for positioning.


Multiple Antennas Radio Propagation Conditions Location Determination Algorithms Estimation Of Signal Parameters Via Rotational Invariance Techniques (ESPRIT) Multiple Signal Classification (MUSIC) 
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  1. Borzino AMCR, Apolinario JA Jr, de Campos MLR (2016) Consistent DOA estimation of heavoisy gunshot signals using a microphone array. IET Radar Sonar Navig 10(9):1519–1527CrossRefGoogle Scholar
  2. Cherry S (2008) Spotting snippers with sound. IEEE Spectr 45(12):14–14CrossRefGoogle Scholar
  3. Cui XX, Yu K, Lu S (2015) Evolutionary TDOA-based direction finding methods with 3-D acoustic array. IEEE Trans Instrum Meas 64(9):2347–2359CrossRefGoogle Scholar
  4. Dechmann DKN, Kranstauber B, Gibbs D, Wikelski M (2010) Group hunting—a reason for sociality in Molossid bats. PLoS ONE 5(2):1–7CrossRefGoogle Scholar
  5. Guo YJ (2004) Advances in mobile access networks. Artech House, BostonGoogle Scholar
  6. Hengy S, Duffner P, DeMezzo S, Heck S, Gross L, Naz P (2016) Acoustic shooter localization using a network of asynchronous acoustic nodes. IET Radar Sonar Navig 10(9):1528–1535CrossRefGoogle Scholar
  7. Lorenzo DSD, Rife J, Enge PK, Akos D (2006) Navigation accuracy and interference rejection for an adaptive GPS antenna array. In: Proceedings of ION institute of navigation global navigation satellite systems conference, Fort Worth, TX, USA, Sept 2006Google Scholar
  8. Mathews CP, Zoltowski MD (1994) Eigenstructure techniques for 2-D angle estimation with uniform circular arrays. IEEE Trans Signal Process 42(9):2395–2407CrossRefGoogle Scholar
  9. Ottersten B, Viberg M, Kailath T (1991) Performance analysis of the total least squares ESPRIT algorithm. IEEE Trans Signal Process 39(5):1122–1135CrossRefGoogle Scholar
  10. Schmidt RO (1986) Multiple emitter location and signal parameter estimation. IEEE Trans Antenna Propag 34(3):276–280CrossRefGoogle Scholar
  11. Swindlehurst AL, Kailath T (1992) A performance analysis of subspace-based methods in the presence of model errors, part I: the MUSIC algorithm. IEEE Trans Signal Process 40(7):1758–1774CrossRefGoogle Scholar
  12. Wu Y, So HC (2008) Simple and accurate two-dimensional angle estimation for a single source with uniform circular array. IEEE Antennas Wirel Propag Lett 7(99):78–80Google Scholar
  13. Ye Z, Xiang L, Xu X (2007) DOA estimation with circular array via spatial averaging algorithm. IEEE Antennas Wirel Propag Lett 6:74–76CrossRefGoogle Scholar

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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.CSIRO ICT CentreMarsfieldAustralia
  2. 2.China University of Mining and TechnologyXuzhouChina

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