Currently, orthogonal time frequency space (OTFS) modulation has drawn much attention to reliable communications in high-mobility scenarios. This paper proposes a doubly-iterative sparsified minimum mean square error (DI-S-MMSE) turbo equalizer, which iteratively exchanges the extrinsic information between soft-input-soft-input (SISO) MMSE estimator and SISO decoder. Our proposed equalizer does...

あらまし 次世代移動無線通信システムで要求される数ギガビット毎秒のデータ通信の実現には厳しい周波数選 択性チャネルの克服が必須である.周波数領域拡散を用いるマルチキャリア(MC)符号分割多元接続(CDMA)伝送で は,最小平均二乗誤差(MMSE)規範に基づく 1 タップの周波数領域受信等化(受信 MMSE-FDE)を用いることで優れ た伝送特性を実現できることが知られている.ところで,送信機がチャネル情報を有しているときには,MMSE規 範に基づく 1タップの周波数領域送信等化(送信MMSE-FDE)が適用可能であることが示されている.筆者らは,チ ャネル情報を送受信機が共有している場合に送受信機でそれぞれ 1 タップの FDE を行うジョイント送信/受信 MMSE-FDEを提案してきた.本稿ではMC-CDMA伝送を対象に,これら 3種のMMSE-FDEの比較と考察を行う. それぞれ...

In this paper, a channel estimator using neural network is presented for Long Term Evolution (LTE) uplink. This paper considers multiuser SC-FDMA uplink transmissions with doubly selective channels. This channel estimation method uses knowledge of pilot channel properties to estimate the unknown channel response at non-pilot sub-carriers. First, the neural network estimator learns to adapt to t...

We study a networked state estimation problem for a linear system with multiple sensors, each of which transmits its measurements to a central estimator via a lossy communication network for computing the minimum mean-square-error (MMSE) state estimate. Under a general Markov packet loss process, we establish necessary and sufficient conditions for the stability of the estimator for any diagona...

Reliable coherent wireless communication requires accurate estimation of the time-varying multipath channel. This paper addresses two issues in the context of direct-sequence code-division multiple access (CDMA) systems: i) linear minimum-mean-squared-error (MMSE) channel estimation based on a pilot transmission and ii) impact of channel estimation errors on coherent receiver performance. A sim...

Multipath channels often exhibit sparse structures in multicarrier underwater acoustic (MC-UWA) communication systems. Conventional linear channel estimators, such as least squares (LS) and minimum mean square error (MMSE) are considered as optimal solutions under the assumption of rich multipath. However, they often result in low spectral efficiency due to neglect of the sparsity in multipath ...

The most important aspect of any classifier is its error rate, because this quantifies its predictive capacity. Thus, the accuracy of error estimation is critical. Error estimation is problematic in small-sample classifier design because the error must be estimated using the same data from which the classifier has been designed. Use of prior knowledge, in the form of a prior distribution on an ...

Traditional subspace based speech enhancement (SSE) methods use linear minimum mean square error (LMMSE) estimation that is optimal if the Karhunen Loeve transform (KLT) coefficients of speech and noise are Gaussian distributed. In this paper, we investigate the use of Gaussian mixture (GM) density for modeling the non-Gaussian statistics of the clean speech KLT coefficients. Using Gaussian mix...

• Explicit expression of MMSE estimator is derived from noisy measurements with many missing entries. MSE for and asymptotic results are discussed. This paper considers the task estimating l 2 norm a n -dimensional random Gaussian vector taken after entries missed only K (0 ? ) retained while rest erased set to 0. Specifically, we evaluate minimum mean square error (MMSE) unknown performing und...