MIMO communication systems employing per transmit antenna differential mapping (PADM)

Kubo, Hiroshi; Higashinaka, Masatsugu; Okazaki, Atsushi; Penther, B.; Murakami, Keishi

doi:10.1109/vetecs.2004.1388901

Cited by 6 publications

(2 citation statements)

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“…In such cases, noncoherent detection with differential coding, which circumvents the need for channel estimation, becomes more competitive. Some noncoherent detection schemes [8]- [10] have been proposed for SM MIMO systems. In [8], a differential modulation scheme is proposed for the modified V-BLAST system [11] where delay offsets are intentionally applied to each sub-stream and zeros are inserted in the space-time code matrix to avoid interblock interference.…”

Section: Introductionmentioning

confidence: 99%

“…In [10], based on the maximum-likelihood sequence estimation (MLSE) [14] with per-survivor processing (PSP) [15], MIMO communication systems employing per transmit antenna differential encoding (PADE), has been proposed. The branch metric of PADE can be generated by a fixed finite impulse response filter with current and several previous received signals as inputs.…”

Section: Introductionmentioning

confidence: 99%

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Noncoherent Maximum Likelihood Detection for Differential Spatial Multiplexing MIMO Systems

Jia

Yoshii

Handa

et al. 2010

IEICE Trans. Commun.

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SUMMARYIn this paper, we propose a novel noncoherent maximum likelihood detection (NMLD) method for differential spatial multiplexing (SM) multiple-input multiple-output (MIMO) systems. Unlike the conventional maximum likelihood detection (MLD) method which needs the knowledge of channel state information (CSI) at the receiver, NMLD method has no need of CSI at either the transmitter or receiver. After repartitioning the observation block of multiple-symbol differential detection (MSDD) and following a decision feedback process, the decision metric of NMLD is derived by reforming that of MSDD. Since the maximum Doppler frequency and noise power are included in the derived decision metric, estimations of both maximum Doppler frequency and noise power are needed at the receiver for NMLD. A fast calculation algorithm (FCA) is applied to reduce the computational complexity of NMLD. The feasibility of the proposed NMLD is demonstrated by computer simulations in both slow and fast fading environments. Simulation results show that the proposed NMLD has good bit error rate (BER) performance, approaching that of the conventional coherent MLD with the extension of reference symbols interval. It is also proved that the BER performance is not sensitive to the estimation errors in maximum Doppler frequency and noise power. key words: noncoherent maximum likelihood detection, spatial multiplexing, MIMO, multiple-symbol differential detection, fast calculation algorithm

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