| As an important branch of the modenl signal proeessing, array signal processing has been applied in many fields such as radar,sonar,modern communication, geologic exploration and so on. As an important approach of array signal processing,the beamforming technique is mainly to realize two founctions:obtaining spatial processing gain of signals of interest against noises,interferences or reverberations,and achieving high spatial resolution for more accurate target detection and localization. Wideband multichannel calibration technique and wideband beamforming technique are researched and analyzed deeply in the article.The main contributions of this thesis can be summarized as follows:First, an algorithm of wideband multichannel calibration based on adaptive equalization is studied.The digital filter is synthetized by means of self-adaptive filtering principle, solving amplitude variation and phase shifting mismatching among receiver channels effectively.The approach is applied to the wideband multichannel calibration in EW. The results in this paper show that the algorithm is effective. The wideband multichannel calibration can be realized in FPGA by designing a specific digital filter.Seeond, in many cases, it is essential that the array could receive wideband signal without distortion. So the beamformer must have a frequency invariant beam pattern. A method to design a finite impulse response (FIR) filter with specific frequency response by use of adaptive method, and this kind of filter to be used in time-domain wideband beamformer are deeply studied in this paper.The simulation results show that the algorithm is effective.At last, this thesis pays the main attention to the design of wideband array signal processing scout platform.It presents the design of workflow and working principles, and introduces the important part of the platform. Then the concrete analysis of function modules is presented in order to achieve the functions and indexes of the platform. |
