1 research outputs found
Blind Channel Estimation and Data Detection with Unknown Modulation and Coding Scheme
This paper investigates a complete blind receiver approach in an unknown
multipath fading channel, which has multiple tasks including blind channel
estimation, noise power estimation, modulation classification, channel coding
recognition, and data detection. Each of these tasks has been sufficiently
studied in the literature. However, to the best of our knowledge, this overall
problem has not been investigated previously. This paper is the first attempt
to address this overall problem jointly. We propose a complete blind receiver
approach that jointly estimates the unknown channel state information and noise
power, recognizes the unknown modulation and coding scheme, detects the data of
interest, and thus named BERD receiver. Another merit of the proposed BERD
receiver is that it can be implemented for both a single receiver and multiple
receivers, which ensures successful estimation, recognition, and detection for
such an extremely difficult problem. In addition, numerical results show the
performance of the proposed receiver in three folds: a) the BERD receiver
outperforms the linear minimum mean squared error (LMMSE) pilot-based channel
estimator by over 3.5 dB at the MSE of 0.01; b) the correct modulation/coding
recognition performance of the BERD receiver is within 0.3 dB as close to the
recognition benchmark when the perfect channel state information (CSI) is
available; c) the BERD receiver is within 0.5 dB at the bit error rate of 0.001
compared to the benchmark when the modulation, the channel coding, and the CSI
are perfectly known. Finally, the BERD receiver finds many applications in both
civilian and military scenarios, such as the interference cancelation in
spectrum sharing, real-time signal interception, and processing in electronic
warfare operations, automatic recognition of a detect signal in
software-defined radio.Comment: 45 pages, 12 figure