CMA-Based Channel Estimation for Space-Time Block Coding Transmission Systems
Wireless Personal Communications: An International Journal
Self-tuning blind identification and equalization of IIR channels
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Signal Processing
A class of channels resulting in ill-convergence for CMA in decision feedback equalizers
IEEE Transactions on Signal Processing
Dynamically Partitioned Hierarchical Constant Modulus Algorithm for Variable Delay Spread Channels
Wireless Personal Communications: An International Journal
| Hi-index | 754.84 |
The constant modulus (CM) criterion has become popular in the design of blind linear estimators of sub-Gaussian independent and identically distributed (i.i.d.) processes transmitted through unknown linear channels in the presence of unknown additive interference. In this paper, we present an upper bound for the conditionally unbiased mean-squared error (UMSE) of CM-minimizing estimators that depends only on the source kurtoses and the UMSE of Wiener estimators. Further analysis reveals that the extra UMSE of CM estimators can be upper-bounded by approximately the square of the Wiener (i.e., minimum) UMSE. Since our results hold for vector-valued finite-impulse response/infinite-impulse response (FIR/IIR) linear channels, vector-valued FIR/IIR estimators with a possibly constrained number of adjustable parameters, and multiple interferers with arbitrary distribution, they confirm the longstanding conjecture regarding the general mean-square error (MSE) robustness of CM estimators