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    IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 51, NO. 7, JULY 2003 1093

    Further Results on DifferentialSpaceTime Modulations

    Eugenio Chiavaccini, Member, IEEE,and Giorgio M. Vitetta, Senior Member, IEEE

    AbstractIn this paper, some novel results on the spacetimedifferential modulation schemes described by Hochwald andSweldens, and Tarokh and Jafarkhani, are derived under theassumption of a quasi-static multiple-antenna channel. First, theoptimality (in the maximum-likelihood sense) of the one-shotdetection algorithms of Hochwald and Sweldens, and Tarokh andJafarkhani, is proved. Then the expression of the pairwise errorprobability for these detectors is derived, and, as a particularcase, the bit-error rate is computed for the binary phase-shiftkeyed scheme of Tarokh and Jafarkhani. Finally, a per-survivorprocessing (PSP) detection algorithm for this class of modulationsis illustrated. Numerical results evidence both the superiorityof the PSP strategy over the one-shot spacetime differentialdetectors and the accuracy of the above-mentioned bit-error rate

    formula.

    Index TermsMaximum-likelihood detection, per-survivor pro-cessing (PSP), spacetime coding, Viterbi algorithm.

    I. INTRODUCTION

    I N THE LAST few years, it has been shown that the informa-tion capacity of wireless communication systems canbe sub-stantially increased by employing multiple transmit and receive

    antennas [3]. A practical solution to approach the enlarged ca-

    pacity, i.e., to increase the data rate in wireless communications,

    is the use of coding schemes for multiple antennas, namely,

    spacetime codes (STCs) [4], which can provide receiver diver-

    sity and coding gain without bandwidth expansion.Recently, different spacetime block codes (STBCs) [5][7]

    and spacetime trellis codes (STTCs) [8], [9] have been pro-

    posed. All these ST block-coding schemes have been designed

    under the assumption that ideal channel state information (CSI)

    is available at the receiver side, so that coherent detection algo-

    rithms can be employed. With multiple antennas and in a time-

    varying scenario, however, channel estimation may represent a

    serious problem in the implementation of these coding tech-

    niques. This consideration has motivated the search for novel

    STCs which can be detected in a noncoherent fashion. The first

    example of an ST block-coding scheme admitting differential

    detection has been proposed by Tarokh and Jafarkhani [2]. A

    deeper insight into the problem has been provided by Hochwald

    Paper approved by V. A. Aalo, the Editor for Diversity and Fading ChannelTheory of the IEEE Communications Society. Manuscript received November9, 2001; revised November 15, 2002. This work has been supported in part bythe MIUR, Italy, within the framework of the national project MC-CDMA: ARadio Interface for the Fourth Generation of Mobile Wireless Systems. Thispaper was presented in part at the IEEE International Conference on Commu-nications, New York, NY, April 2002.

    The authors are with the Department of Information Engineering, Universityof Modena and Reggio Emilia, 41100 Modena, Italy (e-mail: [email protected], [email protected]).

    Digital Object Identifier 10.1109/TCOMM.2003.814211

    and Sweldens [1], [10] and Hughes [11], [12], who have devel-

    oped a general approach, based on finite group theory, to dif-

    ferential modulation for multiple antennas. In all these papers,

    bounds on error performance and optimal differential block-by-

    block (i.e., one-shot) detectors are derived under the hypothesis

    that the multiple-antenna channel can be assumed static over at

    least two consecutive blocks. More recently, the use of multiple-

    symbol differential detection [23] and decision-feedback differ-

    ential detection [24] has been proposed as a possible solution to

    avoid the substantial loss of conventional differential detectors

    in moderately fast fading [22]. In this paper, we investigate the

    detection of the differential ST modulation schemes proposed

    by HochwaldSweldens (HS) [1] and TarokhJafarkhani (TJ)

    [2], assuming a quasi-static (QS) communication channel. This

    means that, both in the derivation of optimal detection algo-

    rithms and in performance analysis, channel variations within

    each block are deemed negligible, whereas changes from block

    to block are taken into account.

    The purpose of this paper is threefold. First, we show that

    the block-by-block differential detectors of [1] and [2]1 are still

    optimal in the maximum-likelihood (ML) sense under the QS

    hypothesis. Then, a closed-form solution for the pairwise error

    probability (PEP) of the block-by-block differential detector for

    HS codes [1] is evaluated. This result is exploited to derive the

    bit-error probability of the TJ scheme when binary phase-shiftkeying (BPSK) symbols feed the ST encoder. Finally, an ap-

    proximate ML receiver for sequence detection is derived. It is

    based on the Viterbi algorithm and incorporates per-survivor

    processing (PSP) techniques for channel estimation [13].

    The paper is organized as follows. Signal and channel models

    are illustrated in Section II and are employed in Section III to

    derive one-shot ML differential detectors for both HS and TJ

    schemes. The PEP of the block-by-block differential detector

    for HS codes is derived in Section IV. The PEP expression is

    also employed to derive the bit-error probability of the BPSK

    TJ code. An approximate ML sequence detector for differential

    ST modulations is illustrated in Section V. Numerical results

    are illustrated in Section VI. Finally, Section VII offers someconclusions.

    II. SIGNAL ANDCHANNELMODELS

    In this paper, we focus on a STBC system employing

    transmit and receive antennas [4]. The set of channel symbols

    transmitted during the th block2 is denoted by the

    1The differential detector of [2] has been heuristically derived without anyclaim of optimality.

    2Throughout the paper, the parameter denotes the block index, whereas specifies the location of a channel symbol within each block.

    0090-6778/03$17.00 2003 IEEE

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    CHIAVACCINI AND VITETTA: FURTHER RESULTS ON DIFFERENTIAL SPACETIME MODULATIONS 1099

    Fig. 4. BERperformanceof theTJC CR andVR withsingle diversity at the receiver and 1 .

    Fig. 5. BERperformanceof theTJC CR andVR withsingle diversity at the receiver and 1 .

    Figs. 4 and 5 illustrate the error performance of the CR and

    the VR for the TJC with and ,

    respectively, and single diversity at the receiver . In the

    VR (corresponding to a four-state trellis), a prediction

    length and a decision d elay have b een s elected.

    Similarly, Figs. 6 and 7 compare the error performance of the

    CRs with that of the VRs for the HS1 and the HS2 codes with

    and , respectively, and singlediversity at the receiver . Here, and have

    been chosen for the VRs. This means that an eight-state (16-

    state) trellis decoder has been employed for the HSC1 (HSC2)

    with a decision delay .

    Figs. 47 show that VRs substantially outperform the CRs

    for medium and high SNRs. For low SNRs, the small differ-

    ence between the VRs and the CRs can be related to the poor

    quality of the channel prediction evaluated in (53) on the basis

    of the last symbols. The superiority of the VRs over the CRs

    is also exemplified by Figs. 8 and 9, showing the error floor of

    the CR and the VR for the TJC and the HSC2 with single di-

    versity and for the TJC with double diversity ,

    Fig. 6. BER performance of the HSC CR and VR with single diversity at the receiver and .

    Fig. 7. BER performance of the HSC CR and VR with single diversity at the receiver and 1 .

    respectively, and [the continuous lines

    for the TJC-CR have been generated using (41)]. It can be easily

    inferred that the VR has a substantially lower error floor than the

    CR for , and the performance gap gets larger

    as increases.

    Finally, we note that the CR performs better with the TJC

    than with HSC2 (see Fig. 8). The opposite occurs when the VR

    is employed. The VR results can be interpreted as follows. WithHSCs all the matrices are diagonal, so that the th antenna

    transmits only in the block-spaced symbol intervals ,

    with . Therefore, in this case, the signal

    model (2) and the structure of the matrix (45) hold, even

    if the fading channel changes within each block. On the other

    hand, these considerations do not apply to TJC, as (2) is ap-

    proximate.

    VII. CONCLUSIONS

    In this paper, some new results on the detection of the dif-

    ferential STBCs proposed in [1] and [2] have been illustrated.

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    1100 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 51, NO. 7, JULY 2003

    Fig. 8. Error floor of the TJC and HSC2 CR and VR with single diversity at the receiver.

    Fig. 9. Error floor of the TJC CR and VR with double diversity atthe receiver.

    In particular, the optimality of the detector suggested in [ 1] and

    [2] has been proved and error-rate formulas have been derived

    under the assumption of a QS scenario. Finally, a PSP-based re-

    ceiver substantially outperforming conventional differential de-

    tectors has been developed.

    APPENDIX

    In this Appendix, the derivation of the eigenvalues of the ma-

    trix

    (54)

    is briefly described. Let undergo a similitude transformation

    producing

    (55)

    where is an nonsingular matrix. Then the eigen-

    values of are the same as [21]. Here, we choose

    (56)

    with

    (57)

    Substituting (56) and (57) into (55) yields the lower-triangular

    block matrix

    (58)

    with

    (59)

    and . It is easy to verify that eigen-

    values of the matrix (58) are null and that its remaining

    eigenvalues are the roots of the characteristic polynomial

    of . If we take into account the

    property

    (60)

    (holding when the matrices and commute) and note that

    [where is given by (38)], the polynomial

    can be simplified as

    (61)

    Finally, let denote the eigenvalues of . Then, solving

    produces (37).

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    Eugenio Chiavaccini (S99M02) was born inLivorno, Italy, in 1973. He received the Dr. Ing. de-gree (cum laude) in telecommunication engineeringfrom the University of Pisa, Pisa, Italy, in 1998. In2002, he received the Ph.D. degree in informationengineering at the University of Modena and ReggioEmilia, Modena, Italy.

    His main research interests include digital trans-mission theory, detection/equalization techniques,and coded modulations. Presently, he is workingon pure and applied electromagnetic compatibility

    topics and on the application of digital signal processing techniques to EMissues.

    Giorgio M. Vitetta(S89M91SM99) was bornin Reggio Calabria, Italy, in April 1966. He receivedthe Dr. Ing. degree in electronic engineering (cumlaude) in 1990 and the Ph.D. degree in 1994, bothfrom the University of Pisa, Pisa, Italy.

    From 1992 to 1993 he was with the Universityof Canterbury, Christchurch, New Zealand, doingresearch for digital communications on fadingchannels. From 1995 to 1998, he was a ResearchFellow at the Department of Information Engi-neering, University of Pisa. From 1998 to 2001,

    he was an Associate Professor of Telecommunications at the University ofModena and Reggio Emilia, Modena, Italy, where he is now a Full Professorof Telecommunications. His main research interests lie in the broad areaof communication theory, with particular emphasis on coded modulation,synchronization, and channel equalization. He is serving as an Editor of boththe IEEE TRANSACTIONS ONCOMMUNICATIONS and the IEEE TRANSACTIONS

    ONWIRELESSCOMMUNICATIONS.