earticle

영어

We study a method for removing interference and noise to estimate target range information accurately. The transmitted signal is mixed with interference and nois signal before being received. To accurately extract the desired information signal at the receiver, it is essential to eliminate these unwanted signals. This study proposes an algorithm that first obatins range information using the first FFT and then extracts the target range by calculating Doppler information with second FFT. This approach enhances target estimation accuracy. All FFT operations improve the signal-to-noise ratio through coherent intergration. The singal processing after the second FFT is similar to that of a pulse Dopppler radar. However, FFT distortion may occur due to the quantization effect caused by the saturation of the input signal during digital conversion, potentially degrading FMCW performance. To mitigatge this issue, real-time Augomatic Gaing Control is applied. The target range estimation of the proposed and existing methods is analyzed through simulation. The proposed method accurately estimates target range information, while the existing method exhibits estimation errors. The results show that the proposed method improves estimation accuracy by approximately 10% compared to the existing method.