Overloaded array processing with spatially reduced search joint detection

Hicks, Jamey; Bayram, S.; Tranter, William H.; Boyle, R.J.; Reed, Jennifer L.

doi:10.1109/49.942519

Cited by 21 publications

(29 citation statements)

References 130 publications

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“…This allows complexity reductions in the detection stage. Reduced complexity MUD in [5]- [7] relies on minimum mean square error MUD with interference cancellation [5], [6] or the formation of a spatially reducedstate search trellis 2 [7]. In [8], we proposed a unified listbased MUD algorithm referred to as parallel detection with interference estimation (PD-IE).…”

Section: Introductionmentioning

confidence: 99%

An Iterative List-Based Multiuser Detector for Overloaded Receivers in a Rayleigh Fading Channel

Krause

Taylor

Martin

2009

2009 IEEE International Conference on Communications

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Abstract-We consider a wireless communication system where multiple co-channel users transmit data via a synchronous, frequency-flat Rayleigh fading channel. The receiver employs an antenna array. The paper develops an iterative list multiuser detector for overloaded applications where the number of transmitted signals exceeds the number of receive antennas. The receiver uses a linear preprocessor to reduce co-channel interference followed by a multiuser detector with an iterative groupwise symbol detection algorithm that extracts a list of the most likely user symbols. Simulation results show that the proposed detector provides good complexity-performance trade offs.

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Section: Introductionmentioning

confidence: 99%

An Iterative List-Based Multiuser Detector for Overloaded Receivers in a Rayleigh Fading Channel

Krause

Taylor

Martin

2009

2009 IEEE International Conference on Communications

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“…Using (4), the JML receiver can be written aŝ s = arg min [6] with the difference being the definitions of y and H. This is because here we consider an ULA with element spacing in the order of the wavelength λ which makes MRC more suited than a linear beam former at the preprocessing stage. MRC maximizes the SNR at the output by combining multiple signal replicas whereas the linear beam former of [6] places a beam in the direction of each user, thereby mitigating CCI.…”

Section: Mrc Preprocessormentioning

confidence: 99%

“…MRC maximizes the SNR at the output by combining multiple signal replicas whereas the linear beam former of [6] places a beam in the direction of each user, thereby mitigating CCI. Both preprocessors focus the signal energy to only a few elements in each row of H. This suggests that reduced complexity algorithms, such as PSD-RCIE [8], can be used for the detection of the user symbols.…”

Section: Mrc Preprocessormentioning

confidence: 99%

“…al. [6] proposed a reduced complexity algorithm that approximates the JML detector for receivers with an uniform circular array (UCA). Their spatially reduced search joint detection (SRSJD) algorithm combines a linear spatial pre-filter with a non-linear reduced search algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…The algorithm, named parallel symbol detection with reduced complexity interference estimation (PSD-RCIE), uses the preprocessor of [6] and computes lists of most likely symbol estimates. It approximates JML detection much better than SRSJD.…”

Section: Introductionmentioning

confidence: 99%

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List Detection for Overloaded Receivers with a Linear Array

Krause

Taylor

Martin

2007

MILCOM 2007 - IEEE Military Communications Conference

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Reduced complexity satellite broadcast receiver with interference mitigation in correlated noise

Abu‐Shaban

Mehrpouyan

Shankar

et al. 2018

Satell Commun Network

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Summary The recent commercial trends towards using smaller dish antennas for satellite receivers and the growing density of broadcasting satellites necessitate the application of robust adjacent satellite interference cancellation schemes. This orbital density growth along with the wider beamwidth of a smaller dish have imposed an overloaded scenario at the satellite receiver, where the number of transmitting satellites exceeds the number of receiving elements at the dish antenna. To ensure successful operation in this practical scenario, we propose a satellite receiver that enhances signal detection from the desired satellite by mitigating the interference from neighboring satellites. Towards this objective, we propose an enhanced list‐based group‐wise search detection (E‐LGSD) receiver under the assumption of spatially correlated additive noise. To further enhance detection performance, the proposed satellite receiver utilizes a newly designed whitening filter to remove the spatial correlation among the noise parameters, while also applying a preprocessor that maximizes the signal‐to‐interference‐plus‐noise ratio. We exploit the structure of this filter and propose a reduced complexity LGSD (RC‐LGSD) receiver. Extensive simulations under practical scenarios show that the proposed receiver enhances the performance of satellite broadcast systems in the presence of adjacent satellite interference compared with existing methods. Also, under pointing error, RC‐LGSD exhibits similar behavior to that of the optimum receiver.

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Overloaded array processing with spatially reduced search joint detection

Cited by 21 publications

References 130 publications

An Iterative List-Based Multiuser Detector for Overloaded Receivers in a Rayleigh Fading Channel

An Iterative List-Based Multiuser Detector for Overloaded Receivers in a Rayleigh Fading Channel

List Detection for Overloaded Receivers with a Linear Array

Reduced complexity satellite broadcast receiver with interference mitigation in correlated noise

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