Closely spaced monopoles for mobile communications

Vaughan, Rodney G.; Scott, N.L.

doi:10.1029/93rs01079

Cited by 51 publications

(29 citation statements)

References 10 publications

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“…There is no disagreement in the impact of mutual coupling on correlation or diversity gain [9]- [15] and radiation efficiency [11], [16]. On the other hand, conflicting views arise on the impact of mutual coupling on capacity performance [13]- [20], with some papers claiming mutual coupling effects to be beneficial for capacity [13], while others either completely disagree [14], [18], [19], or indicate that its benefits apply only to selected cases (e.g.…”

Section: Review Of Array Impedance Matchingmentioning

confidence: 99%

“…Small spatial separation of the antennas not only leads to correlation of the associated signals, but also gives rise to electromagnetic interactions among the antennas (or mutual coupling), which in turn distorts antenna characteristics such as radiation pattern and input impedance [9], [10]. This distortion can impact the capacity of MIMO systems in two ways: (i) it can introduce (or add to) dissimilarity between the antenna patterns and thus reduce signal correlation to a degree; (ii) it can induce a loss of radiation efficiency due to an increase in impedance mismatch between the typically 50Ω feed line and the antenna input.…”

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confidence: 99%

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Antenna Matching for Capacity Maximization in Compact MIMO Systems

Lau

Andersen

Molisch

et al. 2006

2006 3rd International Symposium on Wireless Communication Systems

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Abstract-As MIMO technology slowly matures, it is finding its way into more wireless applications. However, some important applications, including mobile communications, require compact implementations. One important challenge in miniaturizing MIMO systems for compact terminals is to overcome capacity performance degradation resulting from mutual coupling among closely separated antennas. In this contribution, we begin with a review of the state-of-the-art, with particular emphasis on impedance matching and its impact on capacity. Whereas it has been shown that a multiport extension of the conjugate match is optimum in a reference environment with uniform 3D angular power spectrum, its bandwidth is severely reduced by decreasing antenna separation. On the other hand, noncoupled, individual port matching is inherently simpler to implement and broader in bandwidth, but offers a smaller capacity. Here, we demonstrate that mean capacity can be easily maximized with respect to individual port matching in a given random field. The extent of capacity gains provided by the optimized matching network over existing individual port matching networks strongly depends on the propagation environment.

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Section: Review Of Array Impedance Matchingmentioning

confidence: 99%

mentioning

confidence: 99%

Antenna Matching for Capacity Maximization in Compact MIMO Systems

Lau

Andersen

Molisch

et al. 2006

2006 3rd International Symposium on Wireless Communication Systems

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“…In general, increasing the number of antennas results in more reduction in channel fading. However, in practice, 10-20 antennas seem to provide satisfactory results [6].…”

Section: Diversity Combining Methodsmentioning

confidence: 99%

Fade Mitigation for Air-to-Ground Communication in Aeronautical Telemetry

Bhatt¹,

Patel²,

Pathela³

2012

IJCA

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Aeronautical Telemetry links were comprised of a transmit antenna mounted on the underside of fuselage and a fixed ground station equipped with a tracking antenna. Air-toground channel for this telemetry link can be estimated as line of sight propagation. But there is link loss observed at ground control station for certain instant of time. Possible causes of link loss in this case are due to aircraft maneuvering and fading. So analysis of various fade mitigation techniques as well as bit error rate (BER) and signal to noise (SNR) ratio performance comparison between selection diversity, equal gain combining and maximal ratio combining scheme is done. Finally bit error rate performance comparison curve between maximal ratio scheme (MRC) and Alamouti dual antenna transmission scheme is plotted, in order to find out the best scheme for fade mitigation, among all the above mentioned schemes.

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“…In the case of two diversity antennas the network is two port so the transfer matrix can be resolved when the Z parameters are converted to S parameters [12] giving more clarity compared to the equations used by Vaughan and Scott [8]: The transfer matrix clearly outlines the power transfer components, s fn , and the isolation components s r . It is now possible to compare the equivalent E-field voltages so that: (13) such that:…”

Section: Effects Of Coupling On Spatial Correlationmentioning

confidence: 99%

“…where δθ is defined in equation (8). This can be simplified and used to derive the angle, ζ, as follows: …”

Section: Appendix 1 -Derivation Of the Three Dimensional Anglementioning

confidence: 99%

Analysis of mobile terminal diversity antennas

Brown

Saunders²,

Evans

2005

IEE Proc., Microw. Antennas Propag.

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Antenna diversity has for many years been deployed at the base station to provide significant diversity gain. More recently diversity has also been implemented at the mobile and it has been observed through measurement that antennas still give low correlation even when closely spaced. This paper analyses why de-correlation exists mainly due to angular diversity effects from the two antennas and mutual coupling between them. Although there is low correlation there is still often a reduction in efficiency when antennas are close together so this is also investigated in order to see what scope there is for diversity at the mobile. The impact on efficiency will then determine what effect is made on the diversity system as a whole.

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Closely spaced monopoles for mobile communications

Cited by 51 publications

References 10 publications

Antenna Matching for Capacity Maximization in Compact MIMO Systems

Antenna Matching for Capacity Maximization in Compact MIMO Systems

Fade Mitigation for Air-to-Ground Communication in Aeronautical Telemetry

Analysis of mobile terminal diversity antennas

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