基于改进的剔除平均多目标恒虚警处理方法

Multi-target Constant False-alarm Processing Based on Improved Trimmed-mean

针对传统恒虚警方法在超高射速弹丸多目标环境中适应性差的问题,提出了基于改进的剔除平均(TMCA)多目标恒虚警处理方法。该方法在临近单元平均的基础上,剔除不满足条件的参考单元,以实现对杂波功率电平的估计,并结合双检测门限,对超高射速弹丸多目标回波进行处理。实测数据处理结果表明,本算法可以有效抑制噪声和杂波的影响,为后续的数据处理奠定基础。

For the poor adaptability of the traditional CFAR methods in ultra high speed projectile multi-target environment,a new method based on improved trimmed-mean for multi-target was presented in the paper.In order to achieve the estimation of the noise power level,the reference cell that did not satisfy the condition were excluded after the adjacent cell averaged.And combined with dual detection threshold,the echo of ultra high speed projectile multi-targets were processed.The measured data processing results showed that this algorithm could effectively suppress the influence of noise and clutter,and lay the foundation for the subsequent data pro-cessing.