01214831
-
Upload
alansi92004 -
Category
Documents
-
view
219 -
download
0
Transcript of 01214831
-
8/13/2019 01214831
1/9
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
http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?- -
8/13/2019 01214831
2/9
http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?- -
8/13/2019 01214831
3/9
http://-/?- -
8/13/2019 01214831
4/9
http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?- -
8/13/2019 01214831
5/9
http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?- -
8/13/2019 01214831
6/9
http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?- -
8/13/2019 01214831
7/9
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.
http://-/?-http://-/?-http://-/?-http://-/?- -
8/13/2019 01214831
8/9
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).
REFERENCES
[1] B. M. Hochwald and W. Sweldens, Differential unitary spacetimemodulation,IEEE Trans. Commun., vol. 48,pp.20412052, Dec. 2000.
[2] V. Tarokh and H. Jafarkhani, A differential detection scheme fortransmit diversity, IEEE J. Select. Areas Commun., vol. 18, pp.11691174, July 2000.
[3] I. E. Telatar, Capacity of multi-antenna Gaussian channels,Eur. Trans.
Telecommun., vol. 10, pp. 585595, Nov. 1999.[4] A.Naguib,N. Seshadri,and A. R. Calderbank, Increasingdata rate over
wireless channels, IEEE Signal Processing Mag., vol. 17, pp. 7792,May 2000.
[5] S. M. Alamouti, A simple transmit diversity technique for wirelesscommunications, IEEE J. Select. Areas Commun., vol. 16, pp.14511458, Oct. 1998.
[6] V. Tarokh, H. Jafarkhani, and A. R. Calderbank, Spacetime blockcodes from orthogonal designs, IEEE Trans. Inform. Theory, vol. 45,pp. 14561467, July 1999.
[7] , Spacetime block coding for wireless communications: Perfor-mance results, IEEE J. Select. Areas Commun., vol. 17, pp. 451460,Mar. 1999.
[8] V. Tarokh, A. Naguib, N. Seshadri, and A. R. Calderbank, Spacetimecodesfor highdata rate wireless communication: Performance criteria inthe presence of channel estimation errors, mobility, and multiple paths,
IEEE Trans. Commun., vol. 47, pp. 199207, Feb. 1999.
http://-/?-http://-/?-http://-/?-http://-/?-http://-/?-http://-/?- -
8/13/2019 01214831
9/9
CHIAVACCINI AND VITETTA: FURTHER RESULTS ON DIFFERENTIAL SPACETIME MODULATIONS 1101
[9] V. Tarokh, N. Seshadri, and A. R. Calderbank, Spacetime codes forhigh data rate wireless communication: Performance criterion and codeconstruction,IEEE Trans. Inform. Theory, vol. 44, pp. 744765, Mar.1998.
[10] B. M.Hochwaldand T. L. Marzetta,Unitaryspacetimemodulationformultiple antenna communications in Rayleigh flat fading, IEEE Trans.
Inform. Theory, vol. 46, pp. 543564, Mar. 2000.[11] B. L. Hughes, Differential spacetime modulation, IEEE Trans. In-
form. Theory, vol. 46, pp. 25672578, Nov. 2000.
[12] , Spacetime group codes, in Conf. Rec. 34thAsilomar Conf. Sig-nals, Systems, Computers, vol. 1, 2000, pp. 699704.[13] R. Raheli and A. Polydoros, Per-survivor processing: A general ap-
proach to MLSE in uncertain environment,IEEE Trans. Commun., vol.43, pp. 354364, Feb.-Apr. 1995.
[14] D. P. Taylor et al., Wireless channel equalization, Eur. Trans.Telecommun., vol. 9, no. 2, pp. 117143, Mar.-Apr. 1998.
[15] C. Cozzo and B. L. Hughes, Joint channel estimation and data symboldetection in spacetime communications, in Proc. IEEE Int. Conf.Communications , New Orleans, LA, June 2000, pp. 287291.
[16] J. G. Proakis,Digital Communications, 2nd ed. New York: McGraw-Hill, 1989.
[17] G. M. Vitetta, U. Mengali, and D. P. Taylor, Optimal noncoherent de-tection of FSK signals transmitted over linearly time-selective Rayleighfading channels,IEEE Trans. Commun., vol. 45, pp. 14171425, Nov.1997.
[18] , Double-filter differential detection of PSK signal transmitted
over linearly time-selective Rayleigh fading channels, IEEE Trans.Commun., vol. 47, pp. 239247, Feb. 1999.[19] G. M. Vitetta and D. P. Taylor, Maximum-likelihood decoding of un-
coded and coded PSK signal sequences transmitted over Rayleigh flat-fading channels,IEEE Trans. Commun., vol. 43, pp. 27502758, Nov.1995.
[20] J. H. Lodge and M. L. Moher, Maximum-likelihood sequence estima-tion of CPM signals transmitted over Rayleigh flat-fading channels,
IEEE Trans. Commun., vol. 38, pp. 787794, June 1990.[21] G. H. Golub,Matrix Computations, 2nd ed. Baltimore, MD: Johns
Hopkins Univ. Press, 1989.[22] R. Schober and L. H.-J. Lampe, Noncoherent receivers for differential
spacetime modulation,IEEE Trans. Commun., vol. 50, pp. 768777,May 2002.
[23] D. Divsalar and M. K. Simon, Maximum-likelihood differential de-tection of uncoded and trellis coded amplitude phase modulation overAWGN and fading channelsMetrics and performance, IEEE Trans.
Commun., vol. 42, pp. 7689, Jan. 1994.
[24] R. Schober, W. H. Gerstacker, and J. B. Huber, Decision-feedback dif-ferential detection of MDPSK for flat Rayleigh fading channels,IEEETrans. Commun., vol. 47, pp. 10251035, July 1999.
[25] S. M. Kay, Fundamentals of Statistical Processing. Upper SaddleRiver, NJ: Prentice-Hall, 1993, vol. I, Estimation Theory.
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.