Iterative code-aided phase noise synchronization based on the LMMSE criterion

Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems

“…Therefore, the LS estimator is expected to accurately obtain the MIMO channel and phase noise parameters. Using (23), estimates of the channel magnitude and phase noise matrices are determined by (24) respectively. Simulation results in Section V-B show that the performance of the proposed LS estimator in (24) is close to the CRLB over a wide range of SNR values.…”

“…Using (28)- (33), the remaining EKF equations can be formulated as (34)- (38) is found using (24). The error covariance matrix, , is initialized as , where is a constant that is used to adjust the reliance of the EKF on the data-aided estimates obtained using the LS estimator 7 .…”

On the Achievable Rate of Stationary Fading Channels

“…In typical code-aided synchronized detection based receivers-as they are recently studied in the literature, see, e.g., [122], [81], [39], [95], and [38]-both components, i.e., the channel estimator and the detection/decoding unit, are coupled iteratively, see Fig. 6.1.…”

Channel estimation for a wireless communication systems with chirp carriers

“…[3][4][5] çalışmalarında, çörp-tipi işaretler kanal parametrelerinin kestirimi amacıyla pilot işaret olarak kullanılmıştır. Son zamanlarda pilot işaret kullanmadan kanal kestirimi yapabilme popüler hale gelmiştir ve yinelemeli Kalman [6] ve Wiener filtreleme [7] yöntemleri kullanılarak faz hatasının kestirimi başarıyla gerçekleştirilmiştir.…”