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针对非平稳条件下混响抑制问题,提出一种可利用待测数据统计信息的直接数据域局域联合(D~3JDL)空时自适应方法。不同于级联方法,该方法没有独立运行直接数据域空时自适应和局域联合方法,仅在待测空时样本内用直接数据域空时自适应原理构造非期望数据矩阵,用于获取待测样本的统计信息,并作为局域联合方法的输入进行降维空时处理。由于D~3JDL方法不存在待测样本与学习样本之间统计特性失配的问题,且较好地利用了统计信息,因此具备良好的非平稳环境适应能力。仿真和实验数据处理结果表明,D~3JDL方法抗混响效果优于常规波束形成加匹配滤波处理和其它空时自适应处理方法。
Aiming at the problem of reverberation suppression under non-stationary conditions, a direct data domain local area unification (D ~ 3JDL) space-time adaptive method that can make use of the statistical data of the test data is proposed. Different from the cascaded method, this method does not run the direct space-time adaptive and local-area joint methods directly. Only the non-desired data matrix is constructed by the direct data space-time adaptive principle in the space-time sample to be acquired, The statistical information of the sample to be tested is used as the input of the local area joint method to reduce the space-time and space-time processing. Since the D ~ 3JDL method does not have the problem of statistical mismatch between the sample to be tested and the learning sample, and makes better use of the statistical information, it has a good adaptability to non-stationary environment. Simulation and experimental data processing results show that the anti-reverberation effect of D ~ 3JDL method is better than the conventional beamforming and matched filter processing and other space-time adaptive processing methods.