Blind and Semiblind Channel and Carrier Frequency-Offset Estimation in Orthogonally Space-Time Block Coded MIMO Systems (original) (raw)

2008, IEEE Transactions on Signal Processing

In this paper, the problem of joint channel and carrier frequency offset (CFO) estimation is studied in the context of multiple-input multiple-output (MIMO) communications based on orthogonal space-time-block codes (OSTBCs). A new blind approach is proposed to jointly estimate the channel matrix and the CFO parameters using a relaxed maximum likelihood (ML) estimator that, for the sake of simplicity, ignores the finite alphabet constraint. Although the proposed technique can be applied to the majority of OSTBCs, there are, however, a few codes that suffer from an intrinsic ambiguity in the joint channel, CFO, and symbol estimates. For such specific OSTBCs, a semiblind modification of the proposed approach is developed that resolves the aforementioned estimation ambiguity. Our simulation results demonstrate that although the finite alphabet constraint is relaxed, the performance of the proposed techniques approaches that of the informed (fully frequency-synchronized and coherent) receiver, provided that a sufficient number of data blocks is available for each channel realization. Index Terms-Blind channel and carrier frequency offset estimation, multiple-input multiple-output (MIMO) communications, orthogonal space-time block codes. I. INTRODUCTION S PACE-TIME coding has recently gained much interest because of its ability to combat fading by means of exploiting spatial diversity provided by multiple-input multiple-output (MIMO) communication channels [1]-[3]. Among different space-time coding techniques proposed so far, orthogonal space-time codes (OSTBCs) are of great interest as they collect full diversity at low decoding complexity. The optimal ML decoder for OSTBCs amounts to a simple linear matched filter (MF) receiver followed by a symbol-by-symbol decoder. It has recently been shown in the literature that for the majority of OSTBCs, the MIMO channel is blindly identifiable Manuscript

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Closed-form blind MIMO channel estimation for orthogonal space-time block codes

IEEE Transactions on Signal Processing, 2000

In this paper, a new computationally simple approach to blind decoding of orthogonal space-time block codes (OSTBCs) is proposed. Using specific properties of OSTBCs, the authors' approach estimates the channel matrix in a closed form and in a fully blind fashion. This channel estimate is then used in the maximum-likelihood (ML) receiver to decode the information symbols. The proposed estimation technique provides consistent channel estimates, and, as a result, the performance of the authors' blind ML receiver approaches that of the coherent ML receiver, which exploits the exact channel state information (CSI). Simulation results demonstrate the performance improvements achieved by the proposed blind decoding algorithm relative to the popular differential space-time modulation scheme.

Closed-Form Blind MIMO Channel Estimation for OSTBCs: Resolving Ambiguities in Rotable Codes

2011

In this paper, the problem of blind subspace-based channel estimation in multiple-input multiple-output (MIMO) systems under orthogonal space-time block coded (OSTBC) transmission is investigated. We introduce a virtual snapshot model in which the redundancies in the OSTBC are exploited to augment the received data. We show that the vector of true channel parameters is scaled version of the normalized principal eigenvector of the associated augmented data covariance matrix, which in the case of rotatable OSTBCs is not unique. We propose a simple weighting of the different virtual snapshots in the computation of a modified covariance matrix and derive general conditions that guarantee uniqueness of the channel estimates from the principal eigenvector of that matrix. Further, we prove that the blind estimation schemes of [8] and [9] can be viewed as a particular examples satisfying these uniqueness conditions. In previous works, the uniqueness of these schemes has only been concluded from simulation results but it has not been proven analytically before.

Closed-form blind mimo channel estimation for OSTBCS: Resolving ambiguities in rotatable codes

2011 19th European Signal Processing Conference, 2011

In this paper, the problem of blind subspace-based channel estimation in multiple-input multiple-output (MIMO) systems under orthogonal space-time block coded (OSTBC) transmission is investigated. We introduce a virtual snapshot model in which the redundancies in the OSTBC are exploited to augment the received data. We show that the vector of true channel parameters is scaled version of the normalized principal eigenvector of the associated augmented data covariance matrix, which in the case of rotatable OSTBCs is not unique. We propose a simple weighting of the different virtual snapshots in the computation of a modified covariance matrix and derive general conditions that guarantee uniqueness of the channel estimates from the principal eigenvector of that matrix. Further, we prove that the blind estimation schemes of [8] and [9] can be viewed as a particular examples satisfying these uniqueness conditions. In previous works, the uniqueness of these schemes has only been concluded from simulation results but it has not been proven analytically before.

New OSTBC for Blind Channel Estimation and Tracking in MIMO-OFDM Systems

Applying orthogonal space time block coding (OS-TBC) to multiple-input multiple-output (MIMO) systems helps reduce receiver complexity. However, this approach has been applied only to flat fading channels, as when the channel is a frequency selective fading MIMO channel, OSTBC cannot be used directly since its orthogonal propriety may be lost. Furthermore, the MIMO channel is not always known. To deal with this problem, many techniques were proposed to estimate the channel using a training sequence. Unfortunately, these techniques reduce the useful spectral bandwidth. This paper proposes OSTBC for blind channel estimation and data detection in the case of a MIMO frequency selective channel. The aim of this new OSTBC is twofold: to solve the ambiguity of channel estimation and to reduce the complexity of the detector. By exploiting the well-known technique of orthogonal frequency division multiplexing (OFDM), the frequency selective fading MIMO channel is split into a set of flat fading subchannels. Moreover, to accommodate the fact that a MIMO channel can be time varying, the steady state Kalman channel estimator (SS-KCE) is extended to track the channel's fast variations. The performance of the proposed blind algorithm is related by the adequate choice of the number of subcarriers and it is compared with other existing approaches by means of Monte Carlo simulations.

Performance Analysis of Space-Time Block Codes in Flat Fading MIMO Channels with Offsets

Eurasip Journal on Wireless Communications and Networking, 2007

In this paper we consider the effect of imperfect carrier offset compensation on the performance of Space-Time Block Codes. The symbol error rate (SER) for Orthogonal Space-Time Block Code (OSTBC) is derived here by taking into account the carrier offset and the resulting imperfect channel state information (CSI) in Rayleigh flat fading MIMO wireless channels with offsets.

Experimental performance evaluation of blind channel estimation for orthogonal space-time block codes

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2008

In this paper, we use a 4 x 4 MIMO testbed to investigate the experimental performance of the blind channel estimation technique presented in [1]. The operating frequency throughout all experiments was selected to be 2.47 GHz and the transmission bandwidth was 20 MHz. Our experimental results show that the performance of the blind technique can be very close to that of non-blind training based receiver which uses a significant bandwidth overhead as compared to the blind approach developed in [1].

Maximum-likelihood joint channel estimation and data detection for space time block coded MIMO systems

2014 48th Asilomar Conference on Signals, Systems and Computers, 2014

This paper considers an exact maximum likelihood (ML) joint channel estimation and data detection problem for orthogonal space time block coded (OSTBC) multiple input multiple output (MIMO) systems. We propose an efficient algorithm which achieves exact ML blind data detection even for non-constant-modulus constellations. To the best of our knowledge, this is the first algorithm which efficiently achieves exact ML blind detection for OSTBC MIMO systems with non-constant-modulus constellations. Simulation results validate the performance and the complexity improvements our scheme compare with that of LS channel estimation and data detection scheme.

On implementing the blind ML receiver for orthogonal space-time block codes

2005

Abstract We consider the problem of blind maximum-likelihood (ML) detection for the orthogonal space-time block code (OSTBC) scheme. Our previous work has shown that the problem can be simplified to a Boolean quadratic program (BQP). This sequel focuses on effective optimization methods for that BQP, which, from an optimization viewpoint, is still a computationally hard problem.

Efficient blind decoding of orthogonal space-time block codes over time-selective fading channels

IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006., 2006

In this paper, we consider efficient blind decoder design for orthogonal space-time block codes (OSTBCs). A general decision rule for blind OSTBC decoding is derived assuming a quasi-static flat multiple-input multiple-output (MIMO) Rayleigh fading channel. We use the linear dispersion representation of OSTBCs to derive a blind decoder that results in a quadratic minimization problem, which can be solved efficiently by semidefinite relaxation, sphere decoding or successive interference cancellation. To resolve phase ambiguity problems inherent in blind detectors, rather than using pilot symbols that results in a bandwidth loss, we propose novel totally blind decoders using dual constellations or a superimposed training scheme. To alleviate the computational burden, a minimum mean-squareerror (MMSE) channel estimator is also proposed to track the time-varying channel without using the blind decoder.

Accurate BER analysis of orthogonal space-time block codes with MMSE channel estimation

Spread Spectrum Techniques and …, 2008

In this paper, we investigate the effect of imperfect channel estimation on the bit error rate (BER) performance of orthogonal space-time block codes (OSTBCs). The multiple-input multiple-output (MIMO) propagation channel is assumed to be affected by uncorrelated flat Rayleigh block fading. We consider a mismatched maximum-likelihood (ML) receiver, which estimates the channel matrix from known pilot symbols according to a minimum mean-square error (MMSE) criterion, and uses the channel estimate in the symbol-by-symbol detection algorithm as if it were the true channel matrix. For both PAM and QAM constellations and OSTBCs satisfying a proposed criterion, we present simple exact closed-form expressions for the BER of the mismatched receiver and the corresponding BER degradation as compared to a receiver that knows the true channel matrix. For OSTBCs that do not satisfy this criterion, a simple approximation of the BER and the associated BER degradation is derived, assuming PAM and QAM constellations. By means of computer simulations, this approximation is shown to be very accurate.

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