Interference‐to‐noise ratio estimation in long‐term evolution passive radar based on cyclic auto‐correlation

Abstract

Abstract This letter considers the interference‐to‐noise ratio (INR) estimation problem in long‐term evolution (LTE)‐based passive bistatic radar. The INR is of great importance in the evaluation of interference level, the prediction of the target detection capability and the target parameter estimation. Traditional passive radar uses the cross‐correlation function between the reference and surveillance signals to estimate the INR. This is not applicable to LTE‐based passive radar due to the uncorrelation between the interference and reference signals in LTE‐based passive radar. In this letter, we propose a cyclic auto‐correlation method to estimate the INR. Simulation results show the effectiveness of the proposed method.

Keywords

• Electromagnetic compatibility and interference
• Signal processing and detection
• Mobile radio systems
• Radar theory
• Radar equipment, systems and applications