Matrix analysis
Topics in matrix analysis
Signal Processing Advances in Wireless and Mobile Communications, Volume 1: Trends in Channel Estimation and Equalization
Convex Optimization
Single Carrier FDMA: A New Air Interface for Long Term Evolution
Single Carrier FDMA: A New Air Interface for Long Term Evolution
Effects of imperfect blind channel estimation on performance of linear CDMA receivers
IEEE Transactions on Signal Processing - Part I
Bilinear approach to multiuser second-order statistics-based blindchannel estimation
IEEE Transactions on Signal Processing
Blind identification with periodic modulation: a time-domain approach
IEEE Transactions on Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Blind channel identification and equalization in OFDM-based multiantenna systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Characterizing the statistical properties of mutual information in MIMO channels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Blind channel identification and equalization withmodulation-induced cyclostationarity
IEEE Transactions on Signal Processing
Subspace-based (semi-) blind channel estimation for block precodedspace-time OFDM
IEEE Transactions on Signal Processing
Transmitter induced cyclostationarity for blind channelequalization
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Matrix outer-product decomposition method for blind multiplechannel identification
IEEE Transactions on Signal Processing
Blind OFDM channel estimation through simple linear precoding
IEEE Transactions on Wireless Communications
Optimal placement of training for frequency-selective block-fading channels
IEEE Transactions on Information Theory
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
Frequency domain equalization for single-carrier broadband wireless systems
IEEE Communications Magazine
Hi-index | 0.01 |
Transmit precoding is a key technique for facilitating blind channel estimation at the receiver but the impact due to precoding on the channel capacity is scarcely addressed in the literature. In this paper we consider the single-carrier block transmission with cyclic prefix, in which a recently proposed diagonal-precoding assisted blind channel estimation scheme via covariance matching is adopted to acquire the channel information. It is shown that, when perfect channel knowledge is available at the receiver, the optimal noise resistant precoder proposed in the literature incurs the worst-case capacity penalty. When the coherent interval is finite, channel mismatch occurs due to finite-sample covariance matrix estimation. Thus, we aim to determine how much of the coherent interval should be dedicated to precoding in order to trade channel estimation accuracy for the maximal capacity. Toward this end, we leverage the matrix perturbation theory to derive a closed-form capacity measure which explicitly takes account of the channel uncertainty in the considered blind estimation setup. Such a capacity metric is seen to be a complicated function of the precoding interval. To facilitate analysis, an approximate formula for the derived capacity measure is further given. This allows us to find a closed-form estimate of the capacity-maximizing precoding time fraction, and can also provide insights into the optimal tradeoff between channel estimation accuracy and achievable capacity. Numerical simulations are used for evidencing the proposed analytic study.