Joint estimation algorithms for cochannel signal demodulation

Giridhar, K.; Chari, Srikant; Shynk, J.J.; Gooch, R.P.; Artman, D.J.

doi:10.1109/icc.1993.397534

Cited by 29 publications

(11 citation statements)

References 8 publications

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“…In our survey, we will first focus on the signal extraction techniques that employ a single receiver antenna and then move on to those techniques that employ receiver structures with multiple antennas. A receiver of this type has been investigated by a number of researchers [205,14,20,59,13,35,203].…”

Section: Chapter 2: Array Processing Backgroundmentioning

confidence: 99%

“…Metric for (i,j) th transition: To mitigate the computational complexity of trellised based joint detection, Giridhar et. al [14,59] extended the classical MLSE and MAPSD to Joint MLSE (JMLSE) and Joint MAPSD (JMAPSD) algorithms. The authors use each of these algorithm to jointly cancel cochannel interference with a suboptimal two-stage MAP detector.…”

Section: Joint Detection and Estimation Algorithmsmentioning

confidence: 99%

“…The authors use each of these algorithm to jointly cancel cochannel interference with a suboptimal two-stage MAP detector. Both blind [20] and non-blind algorithms were investigated [14,59]. Simulations show that for low SNRs and known channels, the iterative two-stage MAP yields performance close to the MAP detector.…”

Section: Joint Detection and Estimation Algorithmsmentioning

confidence: 99%

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Overloaded array processing with spatially reduced search joint detection

Hicks

Bayram

Tranter

et al. 2001

IEEE J. Select. Areas Commun.

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Section: Chapter 2: Array Processing Backgroundmentioning

confidence: 99%

Section: Joint Detection and Estimation Algorithmsmentioning

confidence: 99%

Section: Joint Detection and Estimation Algorithmsmentioning

confidence: 99%

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Overloaded array processing with spatially reduced search joint detection

Hicks

Bayram

Tranter

et al. 2001

IEEE J. Select. Areas Commun.

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“…If the instantaneous channel realizations are known, interference can be self-cancelled. There are more advanced and more effective schemes such as interference cancellation [12] [9] and joint detection [4] [5]. To utilize these techniques, it is necessary for the receiver to know all the information necessary to demodulate and decode the other interfering signal.…”

Section: Introductionmentioning

confidence: 99%

The effect of unknown non-flat interference power spectral density in OFDMA cellular system

Shiu

2008

2008 3rd International Symposium on Communications, Control and Signal Processing

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In an OFDMA network, the downlink power spectral density (PSD) is varying dynamically to support multiple access, it is quite difficult to obtain the instantaneous interference PSD through either measurements or signaling. In this paper, we evaluate the impact of unknown non-flat interference in OFDMA system. We compare the performance of three different receiver algorithms under the effect of unknown non-flat interference PSD for AWGN and fading channel. We prove that there is a significant performance lose if we don't know the exactly interference PSD in some case. We will demonstrate the effect of interference under several factors, including SIR, the loading factor and Dmin of receiver codeword.978-1-4244-1688-2/08/$25.00 c 2008 IEEE

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“…In contrast to the above receiver structures, joint estimation algorithms for single-input receivers employing the MAPSD and MLSE criteria along with temporal over-sampling were recently proposed [6] , [7].…”

Section: Introductionmentioning

confidence: 99%

A blind adaptive MAP algorithm for the recovery of cochannel signals

Giridhar

Mathur²,

Shynk³

Proceedings of MILCOM '94

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This paper describes a blind adaptive algorithm for the recovery of cochannel data signals in the presence of intersymbol interference. Assuming unknown finite impulse response channel characteristics, the principle of maximum a posteriori symbol detection (MAPSD)is employed t o jointly estimate the channels and the transmitted data. In order to reduce the complexity of this joint blind MAPSD algorithm, a cascaded multistage structure is proposed whereby each stage recovers one of the cochannel sources. This suboptimal approach is expected to perform well when the cochannel signals have sufficiently different power levels. Computer simulations for a primary signal and a single interferer illustrate the rapid convergence properties of the algorithm.

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Joint estimation algorithms for cochannel signal demodulation

Cited by 29 publications

References 8 publications

Overloaded array processing with spatially reduced search joint detection

Overloaded array processing with spatially reduced search joint detection

The effect of unknown non-flat interference power spectral density in OFDMA cellular system

A blind adaptive MAP algorithm for the recovery of cochannel signals

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