Space-time block-coded systems using numeric variable forgetting factor least squares channel estimator

Grover, Amit

doi:10.5897/ijps11.1567

Cited by 2 publications

(3 citation statements)

References 30 publications

(30 reference statements)

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“…Further, the aforementioned scheme can be extended to achieve the maximum transmission rate of , 9 8 1 STBC data R = > by using the four-transmitter antennas in combination with the concept of constellation rotation or rotation of information symbols (Su and Xia, 2004;Jafarkhani and Seshadri, 2003) as shown in Figures 3 and 4. For the four-transmitter antennas case, the rate-1 complex quasiorthogonal space-time block-code (QSTBC) configurations are presented (Jafarkhani, 2001;Su and Xia, 2004;Grover and Kohli, 2011). It follows that:…”

Section: And Tmentioning

confidence: 99%

“…However, Kohli et al (2011) presented a computationally efficient channel estimation method using the linear-least-squares algorithm in combination with the numeric-variable-forgetting-factor (LSn-NVFF), which is based on the extended estimation error criterion. In this correspondence, we propose the utilization of LSn-NVFF algorithm based estimated complex channel coefficient matrix for the information symbol detection in high-rate STBC wireless systems akin to that of Grover and Kohli (2011), which is expected to improve the bit-error-rate (BER) performance of the high-rate quasi-orthogonal STBCs (QSTBCs) even at the low SNRs.…”

Section: Introductionmentioning

confidence: 99%

“…Then, we give details about the simulation results to compare the frameerror-rate (FER) performance of proposed system using different polynomial based variable forgetting factor LS algorithms along with ML decoding algorithm. The main focus/emphasis is on the usage/incorporation of channel matrix obtained by using the LSn-NVFF (first-order polynomial based approach) and LSn2-NVFF (secondorder polynomial based approach) pilot channel estimation algorithms (Grover and Kohli, 2011), which is the estimated CSI. The value of NVFF increases under stationary conditions for the accurate channel estimation and its value decreases under nonstationary conditions to reduce the lag noise (Kohli et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Full-diversity high-rate space-time block-coded systems using estimated channel state information for symbol detection

Grover¹

2012

Int. J. Phys. Sci.

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In this paper, the frame-error-rate (FER) performance of full-diversity high-rate space-time block-coded (STBC) system is presented for quadrature phase-shift keying (QPSK) digital modulation technique, which is using the numeric-variable-forgetting-factor (NVFF) least-squares (LS) algorithm based channel estimator. The STBC transmission data-rates 5 4 with two-transmitter antennas and 9 8 with four-transmitter antennas are achieved by maximizing the coding gain and by minimizing the peak-tominimum-power-ratio while using the selective power scaling of the information symbols, which also guarantees full-diversity in case of the two-transmitter antennas. The imperfect channel estimation leads to degradation in the FER performance of the low complexity maximum likelihood decoding algorithms, though the optimum power scaling factor is incorporated along with the constellation rotation scheme. Simulation results are presented to demonstrate that the FER performance of highrate STBC system under idealistic conditions is quite different from its performance under realistic wireless environment due to the channel estimation errors. Therefore, the tracking performance of the pilot channel estimator is found to play significant role in the overall performance evaluation of the proposed wireless systems under slowly time-varying channels also in case of the general M-ary phase-shift keying (M-PSK) constellations.

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Section: And Tmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Full-diversity high-rate space-time block-coded systems using estimated channel state information for symbol detection

Grover¹

2012

Int. J. Phys. Sci.

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Characterisation of impulse noise effects on space-time block-coded orthogonal frequency division multiplexing (OFDM) signal reception

Grover¹

2012

Int. J. Phys. Sci.

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This correspondence presents the characterisation of impulse noise effects on the space-time blockcoded orthogonal-frequency-division-multiplexing (STBC-OFDM) symbol reception, in which the conventional OFDM system is combined with the antenna-diversity/spatial-diversity in order to achieve the high data transmission rates. The weak impulse noise may be combated by the longer OFDM symbol duration, in which the total energy of noise spreads among the simultaneously transmitted OFDM sub-carriers irrespective of the impulse noise energy distribution. Specifically, the focus of the presented work is on "noise bucket" effect, in which the STBC-OFDM system is considered to be working in the impulsive environment. It is demonstrated by simulation results that for the occurrence of a significant number of impulses per symbol duration, the noise distribution at the input of the receiver's final decision device is approximately Gaussian. Therefore for simulation purpose, the impulsive environment may be generated by the mere incorporation of equivalent Gaussian noise. Besides, some simulation results are presented using 16-QAM / STBC-OFDM system to give some insight into the symbol error rate variations with respect to the different number of sub-carriers and characteristics of impulsive environment.

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Space-time block-coded systems using numeric variable forgetting factor least squares channel estimator

Cited by 2 publications

References 30 publications

Full-diversity high-rate space-time block-coded systems using estimated channel state information for symbol detection

Full-diversity high-rate space-time block-coded systems using estimated channel state information for symbol detection

Characterisation of impulse noise effects on space-time block-coded orthogonal frequency division multiplexing (OFDM) signal reception

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