Kalman Filter Channel Estimation in 2 × 2 and 4 × 4 STBC MIMO-OFDM Systems

Tang, Ruiguang; Zhou, Xiao; Wang, Chengyou

doi:10.1109/access.2020.3027377

Cited by 13 publications

(3 citation statements)

References 33 publications

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“…The quasi-static channel is assumed, and the parameters used in this section are summarized in Table 1 . We perform tests in China digital television test 1st (CDT 1) and CDT 6 35 channels, respectively. These channels are all Rayleigh channels with the taps number of 6, whose power delay profiles are shown in Table 2 .…”

Section: Numerical Resultsmentioning

confidence: 99%

Channel estimation based on superimposed pilot and weighted averaging

Zhou

Wang

et al. 2022

Sci Rep

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Channel estimation based on superimposed pilot (SP) is a challenge in orthogonal frequency division multiplexing (OFDM) systems. To reduce the pilot data interference in the SP and estimate the channel state information accurately, a weighted averaging (WA) channel estimation method based on the superimposed pilot is proposed in this paper. At the transmitter, two signals with data symbols and pilot symbols superimposed at different subcarriers are transmitted. At the receiver, the elimination scheme is proposed to remove the pilot data interference. Based on the temporal correlation of wireless channels, the WA method is used to reduce the interference caused by additive white Gaussian noise in the channel. Simulation results verify that the proposed method can be applied to different channel scenarios. It has better normalized mean square error and bit error rate performance than other existing methods, and the superimposed pilot can improve the throughput of wireless communication systems.

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Section: Numerical Resultsmentioning

confidence: 99%

Channel estimation based on superimposed pilot and weighted averaging

Zhou

Wang

et al. 2022

Sci Rep

Self Cite

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“…It provides two effects: i) frequency selective fading and ii) intersymbol interference (ISI). Frequency-selective fading can be overcome mostly by observed "uniformity" of a narrow-band channel [29], [30]. On the other hand, the symbols modulation at a very low rate enables the symbols to be significantly longer than the channel response, minimizing the interference.…”

Section: Fadingmentioning

confidence: 99%

Estimation of bit error rate in 2×2 and 4×4 multi-input multi-output-orthogonal frequency division multiplexing systems

Kumar

Prasanna²,

Alagarsamy³

et al. 2023

IJECE

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Multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems with multiple input antennas and multiple output antennas in dynamic environments face the challenge of channel estimation. To overcome this challenge and to improve the performance and signal-to-noise ratio, in this paper we used the Kalman filter for the correct estimation of the signal in dynamic environments. To obtain the original signal at the receiver end bit error rate factor plays a major role. If the signal to noise ratio is high and the bit error rate is low then signal strength is high, the signal received at the receiver end is almost similar to the ith transmitted signal. The dynamic tracking characteristic of Kalman filter is used to establish a dynamic space-time codeword and a collection of orthogonal pilot sequences to prevent interference among transmissions in this paper. Using the simulation, the Kalman filter method can be compared to the other channel estimation method presented in this paper that can track time-varying channels rapidly.

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“…More specifically, in MIMO system, the STBC scheme allowed multiple copies of the same data stream to be transmitted using a number of transmitter antennas, which resulted in an improved data transfer reliability [6]. Therefore, the spatial and temporal variety gained from using STBC in MIMO-OFDM system will lead to high-rate packet transmission without losing bandwidth, appropriate for high throughput application [7].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Modulation in STBC AssistedMIMO-OFDM System using Preamble-BasedSNR Estimator

Manzoor,

Othman

2023

Preprint

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This paper presents a preamble-based time domain SNR estimator for an adaptive modulation of STBC assisted MIMO-OFDM system employing \(M\)-PSK. The modified Constant Amplitude Zero Autocorrelation (CAZAC) preamble structure is exploited in the preamble-based time domain SNR estimator, which exhibits estimated SNR difference of about 0.09 dB compares to the actual SNR for SUI-5 channel. It is observed that the difference between the estimated SNR using the CAZAC-MIMO SNR estimator and the actual SNR is smaller compared to that of the estimated SNR using the benchmarking SNR estimator and its performance is further improved as the diversity order of the system increases. The proposed adaptive modulation of STBC assisted MIMO-OFDM system achieves BER and channel throughput improvement, benefited from the employment of the proposed SNR estimator. At BER\(=10^{-4}\), the proposed adaptive modulation system outperforms the corresponding non-adaptive system employing 8-PSK by about 2 dB. Meanwhile, the performance comparison between the proposed adaptive modulation system and the corresponding adaptive modulation of single-input single-output (SISO)-OFDM system demonstrated significant BER and channel throughput improvement, benefiting from spatial diversity of \(2 \times 2\) MIMO-OFDM system.

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Kalman Filter Channel Estimation in 2 × 2 and 4 × 4 STBC MIMO-OFDM Systems

Cited by 13 publications

References 33 publications

Channel estimation based on superimposed pilot and weighted averaging

Channel estimation based on superimposed pilot and weighted averaging

Estimation of bit error rate in 2×2 and 4×4 multi-input multi-output-orthogonal frequency division multiplexing systems

Adaptive Modulation in STBC AssistedMIMO-OFDM System using Preamble-BasedSNR Estimator

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