How Close Can I Be? - A Comprehensive Analysis of Cellular Interference on ATC Radar

Kumarappan, N.; Kumbhkar, Ratnesh; Mandayam, Narayan B.; Seskar, Ivan; Kompella, Sastry

doi:10.1109/glocom.2017.8254869

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…As mentioned above, the variation of overlap probability between two periodic pulse signals is periodic. Moreover, according to Equation (29), the maximum variation of recognition probability ∆P all_ov is equal to 1 b when initial time difference varies in a period, which means that ∆P all_ov can be adjusted through changing the multiples between DME PRF ( f 2 ) and ATCRBS PRF( f 1 ). If the interfering signal is DME RepX, the desired signal is ATC and f 1 is 1996 Hz.…”

Section: Variation Of Recognition Probability Vs Multiples Of Prfmentioning

confidence: 99%

“…With the increase of electrical and electronic equipment in recent years, analysis of the coexistence between them has gathered great importance. Interference is often analyzed in the frequency domain, power domain, and signal processing, and some researchers have analyzed coexistence between two pieces of equipment operating at close frequency [1][2][3]. Takuya and Shigeru [4] propose an estimation method for the signal environment in ARNS (aeronautical Radio Navigation Service: 960∼1215 MHz) band to examine whether equipment sharing a frequency band interfere with each other.…”

Section: Introductionmentioning

confidence: 99%

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A Method for the Analysis of Interference from DME to ATCRBS in the Time Domain

et al. 2019

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Analysis of the coexistence of two or more types of equipment is increasingly important. However, at present studies on the analysis method in the time domain are scant. Therefore, the aim of this paper is to explore the characteristics of signals and relations between interfering and desired signals in the time domain. Based on the periodicity of a signal, this paper presents a Periodic Pulse Overlap Method (PPOM). Using PPOM to analyze the interference from Distance Measuring Equipment (DME) to Air Traffic Control Radar Beacon System (ATCRBS) in the time domain, we obtain almost the same result as that based on the Monte Carlo Method (MCM). Furthermore, we discover the measures to reduce or even avoid interference, such as changing the Pulse Recurrence Frequency (PRF), adjusting the difference of initial time, and switching the operating modes of the equipment.

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Section: Variation Of Recognition Probability Vs Multiples Of Prfmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Method for the Analysis of Interference from DME to ATCRBS in the Time Domain

et al. 2019

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“…This is important since such a characterization will enable the understanding of how the interference at the radar varies with the choice of protection distance and CBSD operating power. A similar analysis of aggregate interference at an air traffic control radar stationed in airports due to downlink transmissions in a coexisting cell-based network is investigated in [11].…”

Section: A Related Workmentioning

confidence: 99%

Coexistence of radar and communication systems in CBRS bands through downlink power control

Kumarappan

Kumbhkar

Mandayam

et al. 2017

MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM)

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Citizen Broadband Radio Service band (3550 − 3700 GHz) is seen as one of the key frequency bands to enable improvements in performance of wireless broadband and cellular systems. A careful study of interference caused by a secondary cellular communication system coexisting with an incumbent naval radar is required to establish a pragmatic protection distance, which not only protects the incumbent from harmful interference but also increases the spectrum access opportunity for the secondary system. In this context, this paper investigates the co-channel and adjacent channel coexistence of a ship-borne naval radar and a wide-area cellular communication system and presents the analysis of interference caused by downlink transmission in the cellular system on the naval radar for different values of radar protection distance. The results of such analysis suggest that maintaining a protection distance of 30 km from the radar will ensure the required INR protection criterion of −6 dB at the radar receiver with > 0.9 probability, even when the secondary network operates in the same channel as the radar. Novel power control algorithms to assign operating powers to the coexisting cellular devices are also proposed to further reduce the protection distance from radar while still meeting the radar INR protection requirement.

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“…[7], [9] used ITU-R P.2001 because of delta Bullington diffraction model, and [10], [11] adopted Irregular Terrain Model (ITM). In case of urban area, Extended Hata propagation model are used in [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Inter-Radar Interference Analysis Based on L and S Band Propagation Models and Radar Beam-Scanning Scenarios

Kim

Kang

et al. 2022

IEEE Access

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This paper presents an overview and novel method on inter-radar interference analysis based on propagation models and radar beam-scanning scenarios. Many studies on radar interference have provided proper methodologies and recommendations for system safety, coexistence, and higher spectrum utilization. However, the propagation models and radar beam-scanning scenarios have not given detail consideration because they usually focus on the proposed interference mitigation techniques. This paper provides a statistical interference analysis method to understand selection of propagation model and various beam-scanning scenarios on the radar interference. The time, duration, probability of the worst-case interference and expected performance degradation is presented statistically. From the simulation result, the maximum gain alignment under 1 degree between two radar occurs with 1.82 × 10 −5 probability in an example scenario. The proposed simulation and analysis method can help to derive radar operational parameters for interference mitigation and efficient spectrum utilization.

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How Close Can I Be? - A Comprehensive Analysis of Cellular Interference on ATC Radar

Cited by 5 publications

References 10 publications

A Method for the Analysis of Interference from DME to ATCRBS in the Time Domain

A Method for the Analysis of Interference from DME to ATCRBS in the Time Domain

Coexistence of radar and communication systems in CBRS bands through downlink power control

Inter-Radar Interference Analysis Based on L and S Band Propagation Models and Radar Beam-Scanning Scenarios

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