一种宽带雷达目标离散特征状态估计方法

Wideband radar target discrete feature state estimation method

Abstract

The utility model discloses a wideband radar target discrete feature state estimation method, and belongs to the field of radar tracking. The wideband radar target discrete feature state estimation method includes that 1, M targets are provided with nt observed variables, an rth observed variable Zr<A>(t) is derived from an mth target; a discrete feature state variable xm<A>(t) of the mth target has N values; and the discrete feature state of the mth target is initialized to be a jth cost function when t = 1; 2, when 2<= t <=T, the discrete feature state of the m is of a maximum cost function of the j at time t; and a u record when the maximum cost function delta<'t,m(j)> is acquired is recorded as an optimal state path y<t,m(j)>; 3, a maximum discrete feature state variable of the cost function at time T is extracted; and 4, by backtracking from the optimal state path through the T, a discrete feature state sequence is extracted when 1 <= t <= T-1; and when 1 <= t <= T, the discrete feature state sequence is the discrete feature state estimated value of the mth target. The wideband radar target discrete feature state estimation method is adaptable to target discrete feature state estimation under the framework of integration of correlating and filtering of the wideband radar.
本发明公开了一种宽带雷达目标离散特征状态估计方法,属于雷达跟踪领域。本方法包括如下步骤:1、M个目标具有nt个观测变量,令第r个观测来源于第m个目标;第m个目标的离散特征状态变量为具有N个取值;初始化目标m在t=1时刻的离散特征状态为第j种的代价函数;2、在2≤t≤T区间,m在t时刻离散特征状态为j的最大代价函数;将取得最大代价函数δ′t,m(j)值时的u记录为最优状态路径yt,m(j);3、提取T时刻代价函数值最大的离散特征状态变量;4、由T经由最优状态路径回溯,提取1≤t≤T-1的离散特征状态序列;则1≤t≤T的离散特征状态序列作为第m个目标的离散特征状态估计值。本发明适用于在宽带雷达关联、滤波一体化框架下对目标离散特征状态估计。

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