A Generalized Linear Quasi-ML Decoder of OSTBCs for Wireless Communications Over Time-Selective Fading Channels

A Full Rate Quasi-orthogonal STF-OFDM with DAC-ZF Decoder over Wireless Fading Channels

“…where i = 1,…,N T , it implies that the channel matrix is quasi- Since the proposed QOSTF-OFDM is a quasi-orthogonal code, full diversity cannot be achieved; thus, the DAC-ZF [5] decoder can be used to remove the interferences in order to provide a diversity advantage for the proposed QOSTF-OFDM at the receiver. The DAC-ZF decoder combines the signals across all receive antennas before the interference cancellation is done by the ZF technique.…”

Asymptotic Diversity Analysis of Alamouti Transmit Diversity with Quasi-ML Decoding Algorithm in Time-Selective Fading Channels

“…Alamouti transmit diversity technique is well-known as an effective method to exploit spatial diversity and thus to mitigate the detrimental effect of fading channels which also has the attractive property in that full-diversity transmission can be achieved along with a low-complexity linear maximum-likelihood (LML) decoding algorithm for a wireless communication system incorporating two transmit antennas and complex signal constellations [1][2][3][4][5][6]. Accordingly, the Alamouti scheme has been widely adopted in several wireless communication and networking standards such as, IEEE 802.16-2009, IEEE 802.11n, 3GPP LTE, etc.…”

“…In order to resolve this problem, there have been several efforts to design efficient decoding algorithms [4][5][6]. In particular, a linear QML decoding method for Alamouti transmit diversity technique was proposed in [4] over time-selective fading channels, which has the same decoding complexity as the conventional LML decoding and shows the same error rate performance as the LML decoding in quasi-static fading channels (i.e., timenonselective fading channels).…”

“…In order to resolve this problem, there have been several efforts to design efficient decoding algorithms [4][5][6]. In particular, a linear QML decoding method for Alamouti transmit diversity technique was proposed in [4] over time-selective fading channels, which has the same decoding complexity as the conventional LML decoding and shows the same error rate performance as the LML decoding in quasi-static fading channels (i.e., timenonselective fading channels). In [7], the error rate performance assessment was carried out, where a closed-form formula for the symbol pairwise error rate (SPER) and a corresponding union upper bound on the SER are derived for the Alamouti scheme employing the low-complexity QML decoding algorithm.…”

“…To overcome the aforementioned problem, still maintaining the low-complexity of decoding procedure, the linear QML decoding algorithm was proposed in [4] with the aid of the following orthogonal combining matrix transformation as …”