Non-coherent MIMO Communication Systems Employing per Transmit Antenna Differential Mapping (PADM)

Kubo, Hiroshi; Higashinaka, Masatsugu; Okazaki, Atsushi

doi:10.1587/transcom.e95.b.3242

Cited by 5 publications

(4 citation statements)

References 20 publications

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“…PSP based on the VA has been investigated as a demodulation scheme for PADM [12], [13]. In order to realize PSP, the memory length V of the VA satisfies the following relation:…”

Section: Per-survivor Processing Algorithm Employing Dfsementioning

confidence: 99%

“…This paper assumes the values of K of 1 and 2 for spatial multiplexing and transmit diversity, respectively [12]. From Eq.…”

Section: Per-survivor Processing Algorithm Employing Dfsementioning

confidence: 99%

“…However, it suffers from receiver sensitivity degradation and tracking performance degradation on fast time-varying channels due to the loss of orthogonality in the space-time block coding (STBC). The authors have investigated per-transmit antenna differential mapping (PADM), which is one of the DSTTCs [12], [13]. The demodulation scheme of PADM requires per-survivor processing (PSP) [14]- [16] based on the Viterbi algorithm (VA).…”

Section: Introductionmentioning

confidence: 99%

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Differential MIMO Spatial Multiplexing Employing PADM Based on Channel Prediction for Fast Time-Varying Channels

Mori

Takuma

Akinobu

et al. 2017

Journal of Signal Processing

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This paper proposes a demodulation scheme based on channel prediction for differential multiple-input multipleoutput (MIMO) spatial multiplexing employing per-transmit antenna differential mapping (PADM). As PADM is one of the differential space-time trellis codings (DSTTCs), it requires per-survivor processing (PSP) based on the Viterbi algorithm (VA) for its demodulation. Therefore, PADM has excellent tracking performance on fast time-varying channels. However, aiming at higher frequency efficiency, PADM for a higher modulation index suffers from the following two disadvantages: (1) poor receiver sensitivity; (2) high computational complexity. In order to solve the items (1) and (2), this paper employs a spatial multiplexing structure and a state reduction algorithm for the VA, i.e., decision-feedback sequence estimation (DFSE), respectively. Finally, for a frequency efficiency of 4bps/Hz with two receive antennas, computer simulation results confirm that the proposed scheme has excellent bit error rate (BER) performance on fast time-varying channels in the case of the maximum Doppler frequency normalized by a symbol rate of 4%.

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“…PSP based on the VA has been investigated as a demodulation scheme for PADM [12], [13]. In order to realize PSP, the memory length V of the VA satisfies the following relation:…”

Section: Per-survivor Processing Algorithm Employing Dfsementioning

confidence: 99%

“…This paper assumes the values of K of 1 and 2 for spatial multiplexing and transmit diversity, respectively [12]. From Eq.…”

Section: Per-survivor Processing Algorithm Employing Dfsementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Differential MIMO Spatial Multiplexing Employing PADM Based on Channel Prediction for Fast Time-Varying Channels

Mori

Takuma

Akinobu

et al. 2017

Journal of Signal Processing

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“…Although DDD scheme is desirable from the computational complexity points of view, its constellation sometimes suffers from higher peak to average power ration (PAPR). On the other hand, differential transmit delay diversity (DTDD) and per transmit differential mapping (PADM) [7] have been investigated for DSTTC, where PADM is a generalized version of DTDD. On fast timevarying channels, while DSTBC loses orthogonality in a codeword and suffers from performance degradation, DSTTC maintains good error performance.…”

Section: Introductionmentioning

confidence: 99%

A Simple Decision-Feedback Block Differential Detection Scheme for DSTBC

Kubo

2014

2014 IEEE 79th Vehicular Technology Conference (VTC Spring)

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For differential space-time block coding (DSTBC), this paper proposes a simple decision-feedback block differential detection (DFBDD) scheme with small computational complexity, in order to improve tracking capability on fast time-varying fading channels. Decisions can be derived directly without computation of metrics in the proposed DFBDD. It can also employ higher-order channel prediction, which needs neither complex trellis search algorithms nor complex channel prediction recursive algorithms. Finally, computer simulation results confirm that the proposed DFBDD with higher-order channel prediction has higher tracking capability at low computational complexity than the conventional block differential detection without channel prediction.

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Non-Coherent MIMO of Per Transmit Antenna Differential Mapping (PADM) Employing Asymmetric Space-Time Mapping and Channel Prediction

Kubo

Takuma

Mori

2017

IEICE Trans. Commun.

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Non-coherent MIMO Communication Systems Employing per Transmit Antenna Differential Mapping (PADM)

Cited by 5 publications

References 20 publications

Differential MIMO Spatial Multiplexing Employing PADM Based on Channel Prediction for Fast Time-Varying Channels

Differential MIMO Spatial Multiplexing Employing PADM Based on Channel Prediction for Fast Time-Varying Channels

A Simple Decision-Feedback Block Differential Detection Scheme for DSTBC

Non-Coherent MIMO of Per Transmit Antenna Differential Mapping (PADM) Employing Asymmetric Space-Time Mapping and Channel Prediction

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