自适应噪声抵消在矢量传感器方位估计中的应用

The application of acoustic vector-sensor in the noise canceling

矢量传感器能同时拾取声压和质点振速信息,单个矢量传感器就可以估计目标方位,因此非常适合在一些小平台上使用。一般平台的自噪声非常大,这对于目标的方位估计很不利,必须设法抑制自噪声以估计目标方位。文中采用自适应噪声抵消器对平台自噪声进行抑制,介绍了两种噪声抵消的方法,然后进行方位估计。同时对这两种方法作了计算机仿真。结果表明,两种方法都能有效地抑制平台本地噪声。

The vector-sensor can process pressure and particle velocity information jointly. With a single vector-sensor, the azimuth angle of a target can be obtained, so it is suitable to use the single vectorsensor for the small platform. Obviously it is hard to estimate the azimuth angle under heavy self-noise. An approach called adaptive noise canceling is put forward, and two methods classified by different reference signals are introduced. Simulation study of the two methods has been done, and the results show that both of them can effectively cancel the self-noise.