Blind parameter estimation for OFDM interception receiver with iterative cyclostationary analysis

Although cyclostationary analysis of OFDM signals has been widely explored for spectrum sensing and signal identification, the associated high computational complexity requires additional processing and detection time, which further prevents the related techniques from fulfilling the demands of real-time military applications. In addition, recognizable and distinctive features of an OFDM signal in standards-based civilian communications may not be available in military communications thus, posing a challenge for accurate identification of the OFDM system parameters. In this paper, a low-complexity interception receiver, with the capability of blind OFDM parameter estimation, is proposed. The interception receiver design is based on cyclostationary feature detection over a selected cyclic spectrum range using iterative techniques, instead of an exploration of the entire spectrum. Therefore, the computational complexity of signal interception is dramatically reduced. Monte Carlo simulations are conducted to evaluate the performance of the individual modules as well as the interception receiver. Numerical results show that the proposed algorithm is capable of signal detection in blind scenarios with improved performance.