Beampattern analysis for MIMO radar and telecommunication system coexistence

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

doi:10.1109/iccnc.2014.6785392

Cited by 26 publications

(22 citation statements)

References 10 publications

(15 reference statements)

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“…Then BPSK random variables are generated directly by Z = sign(X). (14) In [12], the authors propose to synthesize R g as R g = U H U,…”

Section: Gaussian Covariance Matrix Synthesis For Desired Beampamentioning

confidence: 99%

“…The waveform generated by solving the optimization problem in equation (17) and then using equation (9) is denoted by X opt . The corresponding BPSK waveform is denoted by Z opt which is obtained using equation (14). Then, the output NSP waveform is given by…”

Section: A Nsp Included In the Optimizationmentioning

confidence: 99%

“…A threshold is defined and all the vectors in V H corresponding to singular values below the threshold are collected inV. Then, the projection matrix is formulated as in [4], [14] PV =VV H .…”

Section: B Selective Null Space Projection Algorithmmentioning

confidence: 99%

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MIMO radar waveform design for coexistence with cellular systems

Khawar¹,

Abdelhadi²,

Clancy

2014

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

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The design of multiple-input multiple-output (MIMO) radar waveforms with specified properties has a number of applications including clutter suppression and interference mitigation. In this paper, we design radar waveforms with the aim to mitigate radar interference to communication system. We design constant envelope (CE) transmit beampattern of a MIMO radar, when it is sharing its spectrum with a cellular system, with the constraint that the waveform is in the null space of interference channel between radar and communication system. We design the desired beampattern by unconstrained nonlinear optimization of the desired covariance matrix. We consider waveform design problem for a stationary maritime MIMO radar when interference channels are changing slowly and thus they can be included in the beampattern matching optimization problem. In addition, we also consider the case when the maritime MIMO radar is moving and thus experiences interference channels that are changing fast enough to be not included in the optimization problem. For this case, we design the CE waveform first and then project it onto the null space of interference channel, before transmission, in order to have zero interference to the communication system. We demonstrate, through simulations, the effect of including the constraint of spectrum sharing or the waveform be in the null space of interference channel on the CE waveform design.

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“…Then BPSK random variables are generated directly by Z = sign(X). (14) In [12], the authors propose to synthesize R g as R g = U H U,…”

Section: Gaussian Covariance Matrix Synthesis For Desired Beampamentioning

confidence: 99%

Section: A Nsp Included In the Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

MIMO radar waveform design for coexistence with cellular systems

Khawar¹,

Abdelhadi²,

Clancy

2014

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

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“…The transmission of orthogonal signals gives MIMO radar advantages in terms of digital beamforming at the transmitter in addition to receiver, improved angular resolution, extended array aperture in the form of virtual arrays, increased number of resolvable targets, lower sidelobes [31], and lower probability of intercept as compared to coherent waveforms [30].…”

Section: F Orthogonal Waveformsmentioning

confidence: 99%

Target Detection Performance of Spectrum Sharing MIMO Radars

Khawar

Abdelhadi²,

Clancy³

2015

IEEE Sensors J.

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158

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The demand for spectrum usage is increased which requires new spectrum allotments. For the coexistence of wireless system with the radar systems a dynamic allocation of spectrum method is proposed along with the noise power the communication system power is considered as interference power to the radar system. The communication power effect on radar system as a function of distance is analysed .A multiple input multiple output radar system and MIMO wireless communication system with K base stations are considered. The communication system transmit covariance matrix is designed based on the radar sampling scheme to reduce the effective interference power (EIP) for radar receiver by certain average capacity and transmit power maintained for communication system

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“…Recent efforts include spectral, temporal, system level, and spatial approaches for interference mitigation [6], [7], [8]. Others include radar waveform shaping [9], [10], radar waveform design [11], and resource allocation at cellular system [12] for radar spectrum sharing. The authors in [13], propose an exclusion-region and secondary-user-density based model to share spectrum between an aeronautical radar, operating in the 960-1215 MHz band, and indoor femto cell users.…”

Section: Introductionmentioning

confidence: 99%

A mathematical analysis of cellular interference on the performance of S-band military radar systems

Khawar

Abdelhadi

Clancy

2014

2014 Wireless Telecommunications Symposium

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In the United States, the 3500-3650 MHz band is a potential candidate for spectrum sharing between military radars and commercial cellular systems. This paper presents a framework for the analysis of radar performance under cellular interference. The impact on the performance of radar due to cellular interference is studied by deriving bounds on the probability of detection and probability of miss detection. For this purpose, we first derive the distribution of aggregate cellular interference, in a correlated shadow fading environment, at the radar receiver. We prove that the sum of interference signals from a cellular system has a log-normal distribution with probability 1. We then derive a lower bound on the probability of miss target where we consider our target to be a ship and target returns are modeled by a log-normal distribution. Along with the analytical results we also provide the corresponding simulation results showing degradation in radar performance due to interference from cellular systems.

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Beampattern analysis for MIMO radar and telecommunication system coexistence

Cited by 26 publications

References 10 publications

MIMO radar waveform design for coexistence with cellular systems

MIMO radar waveform design for coexistence with cellular systems

Target Detection Performance of Spectrum Sharing MIMO Radars

A mathematical analysis of cellular interference on the performance of S-band military radar systems

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