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为克服干扰环境下雷达识别和跟踪弱目标信号的困难 ,提出了一个基于小波变换的实时探测方法。通过分析目标和干扰的回波特征 ,采用了一种正交导数小波分析信号的局部凸性 ,并根据局部上凸区间的统计概率给出目标信号位置的探测估值。用仿真和试验数据检验方法的有效性 ,结果表明该方法能够有效判定信干比低至 - 5 d B时目标信号的位置。算法简单、稳定 ,是可行的
In order to overcome the difficulty of radar identifying and tracking weak target signals in the interference environment, a real-time detection method based on wavelet transform is proposed. By analyzing the echo characteristics of target and interference, an orthogonality derivative wavelet is used to analyze the local convexity of the signal, and the detection estimation of the target signal position is given according to the statistical probability of the local convex region. The effectiveness of the proposed method is verified by simulation and experimental data. The results show that this method can effectively determine the position of the target signal when the SINR is as low as -5 d B. The algorithm is simple and stable, it is feasible