基于单基元几何交汇法的被动目标测距测速研究

从理论上分析和推导了单传感器测距测速的几何交汇模型,该模型结合二维栅格搜索策略对具有稳定线谱的匀速直线运动目标进行距离和速度的估计。为满足交汇模型的测频精度要求,介绍了对短样本信号进行测频的谱估计法、过零法和Hilbert方法。把多组对应一定特征频率、正横距离、目标速度和信噪比的目标通过信号代入交汇模型进行计算机仿真,相应得出一系列测量误差曲线,分析结果表明,对于一定参数的通过信号该模型可以较精确的估计出目标的正横距离及速度。

Passive ranging and velocity estimation based on geometric convergence using a single sensor

For a constant velocity source that radiates a constant frequency tone,a geometric convergence model based on a single omni-directional sensor is developed to estimate the distance at the closest point of approach(CPA) and the velocity of the moving target.Measurements of the Doppler-shifted frequencies(DSF) over time can not provide sufficient information for this purpose.We present a two-dimensional grid search technique together with the convergence model in this paper for the estimation of the distance and velocity.To achieve high precision of frequency measurement,three methods are presented and analyzed.A number of different signals are simulated and processed with the model separately.The signals are characterized by specific frequency,distance at CPA,velocity of target and signal-noise ratio.The corresponding relative errors are obtained and analyzed.The result indicates that the distance at CPA and velocity of the target can be estimated fairly accurately under specific conditions using the geometric convergence model.