MIMO radar waveform design for coexistence with cellular systems

Khawar, Awais; Abdelhadi, Ahmed; Clancy, T. Charles

doi:10.1109/dyspan.2014.6817775

Cited by 40 publications

(15 citation statements)

References 11 publications

(21 reference statements)

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“…Another approach is employed in [14] wherein the surveillance space of the radar system is divided into sectors and priorities are assigned (using fuzzy logic) to all radar and communications systems that want to transmit in each sector. Techniques such as interference mitigation [19], precoding or spatial separation [20], waveform design [21]- [23] or waveform shaping [24]- [27] allow both radar and communications to share the spectrum and co-exist. In [24], waveform shaping is done by projecting radar waveforms onto the null space of the interference channel matrix in an attempt to spatially minimize interference to the communications system from the radar system.…”

Section: A Backgroundmentioning

confidence: 99%

Inner Bounds on Performance of Radar and Communications Co-Existence

Chiriyath

Paul

Jacyna

et al. 2016

IEEE Trans. Signal Process.

314

219

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We investigate methods of co-existence between radar and communications systems. Each system typically considers the other system a source of interference. Consequently, the traditional solution is to isolate the two systems spectrally or spatially. By considering a cooperative radar and communications signaling scheme, we derive achievable bounds on performance for a receiver that observes communications and radar return in the same frequency allocation. We assume the radar and communications operations to be a single joint system. Bounds on performance of the joint system are measured in terms of data information rate for communications and a novel radar estimation information rate for the radar.Index Terms-Performance bounds, radar-communications co-existence. I. INTRODUCTIONT HERE is an ever increasing demand for spectrum and given the limit on resources, communications and radar systems are increasingly encouraged to share bandwidth. This can cause inter-system interference that degrades the performance of both systems. The standard solution is to separate (temporally, spatially or spectrally) the radar and communications systems. In this paper, we do not require this separation, and we explore the fundamental radar and communications co-existence performance bounds. An important contribution that enables this exploration is the novel parameterization of estimation information rate. The estimation information rate incorporates the insights of rate distortion theory but emphasizes the symmetry with the communications bound. In this paper, we refine and extend the performance bounds introduced in [1], as well as the additional bounds discussed in [2]. We also expand the results in [1] in greater detail. The two new inner bounds on performance discussed in this paper are the isolated sub-band inner bound and the optimal Fisher information inner bound.

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Section: A Backgroundmentioning

confidence: 99%

Inner Bounds on Performance of Radar and Communications Co-Existence

Chiriyath

Paul

Jacyna

et al. 2016

IEEE Trans. Signal Process.

314

219

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“…However, we are looking into extending this work to multi-cell communication system [7] and studying target detection performance of spectrum sharing MIMO radars [11]. Moreover, instead of using orthogonal waveforms, MIMO radar waveforms with spectrum sharing constraints can be designed which can mitigate radar interference to communication systems [12], [13]. We are also working on various algorithms that exploit the NSP, at radar, and resource allocation along the lines of [14]- [20], at communication system, to mitigate interference in a radar-communication system spectrum-sharing scenario.…”

Section: Future Workmentioning

confidence: 99%

On The Impact of Time-Varying Interference-Channel on the Spatial Approach of Spectrum Sharing between S-band Radar and Communication System

Khawar

Abdelhadi

Clancy

2014

2014 IEEE Military Communications Conference

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Spectrum sharing is a new approach to solve the congestion problem in RF spectrum. A spatial approach for spectrum sharing between radar and communication system was proposed, which mitigates the radar interference to communication by projecting the radar waveform onto null space of interference channel, between radar and communication system [1]. In this work, we extend this approach to maritime MIMO radar which experiences time varying interference channel due to the oscillatory motion of ship, because of the breaking of sea/ocean waves. We model this variation by using the matrix perturbation theory and the statistical distribution of the breaking waves. This model is then used to study the impact of perturbed interference channel on the spatial approach of spectrum sharing. We use the maximum likelihood (ML) estimate of target's angle of arrival to study the radar's performance when its waveform is projected onto the null space of the perturbed interference channel. Through our analytical and simulation results, we study the loss in the radar's performance due to the null space projection (NSP) of its waveform on the perturbed interference channel.Index Terms-MIMO radar, null space, spectrum sharing, perturbed interference channel, coexistence.

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“…Radar signals are manipulated such that they are not a source of interference to certain LTE Advanced BSs. Other related work can be found in [4].…”

Section: Introductionmentioning

confidence: 99%

Resource allocation with carrier aggregation in LTE Advanced cellular system sharing spectrum with S-band radar

Shajaiah

Khawar

Abdelhadi

et al. 2014

2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN)

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Spectrum sharing is a promising solution for the problem of spectrum congestion. We consider a spectrum sharing scenario between a multiple-input multiple-output (MIMO) radar and Long Term Evolution (LTE) Advanced cellular system. In this paper, we consider resource allocation optimization problem with carrier aggregation. The LTE Advanced system has N BS base stations (BS) which it operates in the radar band on a sharing basis. Our objective is to allocate resources from the LTE Advanced carrier and the MIMO radar carrier to each user equipment (UE) in an LTE Advanced cell based on the running application of UE. Each user application is assigned a utility function based on the type of application. We propose a carrier aggregation resource allocation algorithm to allocate the LTE Advanced and the radar carriers' resources optimally among users based on the type of user application. The algorithm gives priority to users running inelastic traffic when allocating resources. Finally we present simulation results on the performance of the proposed carrier aggregation resource allocation algorithm.

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MIMO radar waveform design for coexistence with cellular systems

Cited by 40 publications

References 11 publications

Inner Bounds on Performance of Radar and Communications Co-Existence

Inner Bounds on Performance of Radar and Communications Co-Existence

On The Impact of Time-Varying Interference-Channel on the Spatial Approach of Spectrum Sharing between S-band Radar and Communication System

Resource allocation with carrier aggregation in LTE Advanced cellular system sharing spectrum with S-band radar

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