Space-time block codes: a maximum SNR approach

Ganesan, G.; Stoica, Petre

doi:10.1109/18.923754

Cited by 407 publications

(299 citation statements)

References 6 publications

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“…e., C C C k is the kth column of matrix C C C. Now, we consider the construction of A A A k and B B B k using the amicable orthogonal designs [6], [7]. It is obvious that the kth relay transmits the corresponding kth column of matrix C C C. …”

Section: B Second-hop Transmission: Relay-to-destinationmentioning

confidence: 99%

“…In this paper, we generalize the construction of DSTBCs with amicable orthogonal designs (called orthogonalDSTBCs) originally applied to co-located multiple antennas systems [6], [7] (this approach was first introduced in [5]). Then, it is proved that this scheme achieves the maximum spatial diversity order and single-symbol ML decodability.…”

Section: Introductionmentioning

confidence: 99%

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Distributed space-time block codes with amicable orthogonal designs

Duong

Tran

2008

2008 IEEE Radio and Wireless Symposium

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Abstract-In this paper, we generalize the construction of distributed space-time block codes (DSTBCs) using amicable orthogonal designs which are originally applied to co-located multiple-antenna systems. We also derive the closed-form expression of average symbol error probability (SEP). The result is obtained in the form of single finite-range integral whose integrand contains only the trigonometric functions. Using the asymptotic (high signal-to-noise ratio) SEP formulas we show that the orthogonal DSTBCs achieve full diversity order. We also perform Monte-Carlo simulation to validate the analysis.Index Terms-Distributed space-time block code (DSTBC), non-regenerative relays, orthogonal space-time block code (OS-TBC), symbol error probability (SEP).

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Section: B Second-hop Transmission: Relay-to-destinationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed space-time block codes with amicable orthogonal designs

Duong

Tran

2008

2008 IEEE Radio and Wireless Symposium

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“…Here, is the noise-free received signal matrix that corresponds to the vector of information-bearing symbols . The ML receiver can also be viewed as a matched filter whose output SNR is maximized [4]. It can be shown [8], [19] that (8) is equivalent to the MF linear receiver, which computes the following estimate of (9) and builds the estimate of the vector as (10) The th element of is then compared with all points in .…”

Section: A Point-to-point Mimo Modelmentioning

confidence: 99%

“…In the point-to-point MIMO communication case, the optimal maximum likelihood (ML) detector for this class of codes consists of a simple linear receiver that maximizes the output signal-to-noise ratio (SNR) and the symbol-by-symbol detector. For each symbol, this ML detector can be interpreted as a matched filter (MF) receiver [4].…”

Section: Introductionmentioning

confidence: 99%

Robust linear receivers for space-time block coded multiaccess MIMO systems with imperfect channel state information

Rong

Shahbazpanahi

Gershman

2005

IEEE Trans. Signal Process.

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Abstract-Recently, several linear receiver algorithms have been developed for space-time block-coded multiaccess multiple-input multiple-output (MIMO) wireless communication systems. All these techniques are based on the assumption that the channel state information (CSI) at the receiver side is perfect. However, in practical situations, the available CSI may be imperfect because of channel estimation errors and/or outdated training.In this paper, we develop new robust linear receiver techniques for joint space-time decoding and interference rejection in multiaccess MIMO systems that use orthogonal space-time block codes and erroneous CSI. The proposed receivers are based on worstcase performance optimization. They are shown to provide a substantially improved robustness against CSI mismatches as compared with the existing linear multiaccess MIMO receivers.Index Terms-Imperfect channel state information, multiaccess MIMO communications, orthogonal space-time block codes, robust linear receivers.

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“…where X H denotes the Hermitian transposition of X and I n is the identity matrix of order n. CODs are strongly connected to the amicable orthogonal designs (AODs), which have been explained in [4]. The detailed theory of amicable orthogonal designs (AODs), including limitations on the number of different variables for the given design order can be found in [2].…”

Section: Definitionmentioning

confidence: 99%

Two complex orthogonal space-time codes for eight transmit antennas

et al. 2004

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Two new constructions of complex orthogonal space-time block codes of order 8 based on the theory of amicable orthogonal designs are presented and their performance compared with that of the standard code of order 8. These new codes are suitable for multi-modulation schemes where the performance can be sacrificed for a higher throughput.Introduction: Transmit antenna diversity can be accomplished with the use of space-time codes (STCs) [1]. Out of the STCs, space-time block codes (STBCs) developed from the amicable orthogonal designs [2] lead to the simplest receiver structures and minimum processing delays if combined with modulation schemes having complex signal constellations, such as in the case of quaternary phase shift keying (QPSK) or quadrature amplitude modulation (QAM). The simplest STBC based on amicable orthogonal designs is an Alamouti code [1] providing a transmission rate of 1 for the two transmit antenna system. STBCs based on amicable orthogonal designs, usually referred to as complex orthogonal STBCs, for a larger number of transmit antennas cannot provide the transmission rate of 1 but they are attractive nevertheless since they can provide a full diversity for the given number of transmit antennas and are usually simple to decode. There exist some complex orthogonal STBCs designs for four transmit antennas and eight transmit antennas, e.g. [3], providing the rates of 3=4 and 1=2, respectively. They are usually based on those amicable orthogonal designs where each variable is represented just once in a design. Hence, the code matrices have many zeros (50% for eight transmit antennas) resulting in many time slots when no useful information is being transmitted. In this Letter, we introduce two new complex orthogonal STBCs for eight transmit antennas having less unused time slots. In the first of these new codes, one of the variables is repeated twice and in the second code, one variable is repeated four times per every transmit antenna. These properties can be further exploited to increase the code rate over 1=2 using more sophisticated modulation schemes, where the higher number of information bits is associated with those signals that appear in more than one time slot per each antenna.

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Space-time block codes: a maximum SNR approach

Cited by 407 publications

References 6 publications

Distributed space-time block codes with amicable orthogonal designs

Distributed space-time block codes with amicable orthogonal designs

Robust linear receivers for space-time block coded multiaccess MIMO systems with imperfect channel state information

Two complex orthogonal space-time codes for eight transmit antennas

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