分布式有源对消及测角误差影响分析

为减小测角误差对有源对消效果的影响,进而降低有源对消对测角系统性能的要求,促进有源对消技术在雷达散射截面(Radar Cross Section, RCS)缩减中的应用,基于平台及单个强散射源RCS 曲线随角度变化的特点,提出了分布式的有源对消方案。推导了包含测角误差的有源辐射场表达式,分析了测角误差对有源对消效果的影响方式,为减小测角误差的影响提供了指导。采用蒙特卡罗方法仿真分析了集中式有源对消和分布式有源对消的性能随测角精度的变化。最后在一定测角精度情况下,分析了不同幅度相位误差对分布式对消的影响。结果表明,分布式对消方案具有较为稳定的对消效果,在测角误差3°的情况下,为达到6dB 的缩减,相位和幅度容差分别达到10°和2 dB。上述结果为有源对消在RCS 缩减的应用中提供了新思路。

Distributed Active Cancellation and Impacts of Angle Measurement Error

To decrease the effect of angle measurement error to active cancellation performance and then to reduce the requirement of angle measurement system and to promote application of active cancellation in RCS reduction, a distributed cancellation method is proposed based on the characteristics of radar cross section (RCS) curves of the platform and main scattering source. The radiated field containing angle measurement error is established and the ways in which the angle measurement error affects cancellation performance is analyzed and some strategies to decrease the impact are given. Monte Carlo method is utilized to study the performance of centered and distributed cancellation method for different angle measurement accuracy. At last, the impacts of amplitude error and phase error for distributed cancellation are given. The distributed cancellation method has stable cancellation performance. 6 dB RCS reduction can be achieved when the angle measurement error, phase error and magnitude error are 3°, 10°and 2 dB respectively. Those results provide a new way for the application of active cancellation method in RCS reduction.