Single-Tone Continuous-Wave Interference Detection and Estimation Using Matrix Features

Radio-frequency communication system performance can be affected by interference signal. Although spread spectrum techniques can provide a level of robustness for secure communication, but they can be still affected by strong interferences. Therefore, early detection and estimation of interference signal presence can enable the user or system to make preemptive actions. In the current article, a new detection and estimation strategy utilizing flipped Toeplitz-covariance-matrix Frobenius-norm is proposed for single-tone continuous-wave interference. By bordering the autocorrelation matrix, the Frobenius norm is calculated in each step. Then the derivation is obtained and the Fourier transform of the result, provides the input signal frequency. This method could be utilized for early caution level in secure-communication direct-sequence system. The efficiency of the introduced algorithm is verified by real dataset simulation and comparison with some other methods which shows good performance.