一种改进子空间投影自适应单脉冲算法

An Improved Adaptive Monopulse Algorithm Based on Subspace Projection

自适应单脉冲技术由于能有效地抑制干扰,同时比较准确地估计出信号源的方位,因而被广泛的用于跟踪、制导雷达。经典自适应单脉冲算法都采用一阶线性逼近方法,忽略了高次项对角度估计的影响,从而导致角度估计在单脉冲比非线性区域具有大的估计误差。针对这个问题,该文提出令高次项为零的约束条件,并结合干扰信号子空间计算自适应差波束权重,最后将自适应和、差波束权重代入经典的自适应单脉冲算法,在简化角度估计公式的同时,给出信号源方位。同时,该文给出了约束点位置选取的基本规则。通过上述方法,高次项的被忽略变得更加合理,自适应单脉冲的有效测角范围进一步变大,同时角度估计误差进一步降低。计算机仿真结果验证了算法的正确性和有效性。

Adaptive monopulse technique is widely used in surveillance and tracking radar due to its interference cancelling and angle estimation ability. In classical adaptive monopulse, the first-order linear approximation is adopted and the high-order items are ignored, which causes angle estimation error. To solve this issue, constraints to make the high-order items approach zero are proposed and combined to interference subspace to calculate weights of sum and difference beams. Finally, the obtained weights are applied to classical adaptive monopulse method to estimate the angle location while making equations more concise. Some rules and regulations on the locations of the constraints are also made in this paper. By using the method proposed in this paper, adaptive monopulse estimation can be applied to a larger area and angle estimation error can be reduced further. Simulation results show the effectiveness and correctness of the algorithm proposed in this paper.