Space-time Two-dimensional Joint High-resolution Based On Deconvolution For Array Signal Processing

Parameter estimation,as an important branch of array signal processing technology,plays an important role in the positioning and communication field of modern sonar and radar.Among them,the multi-parameter estimation technology is more practical and can describe the target signal more fully and completely.The target's DOA estimation and delay estimation are two important parameters for positioning the target.The main research content.In this paper,the array receives underwater multi-path signals as the research object.The deconvolution algorithm is used to make high-resolution time-space joint estimation of two-dimensional space-time by using the difference of the sound path and the angle of arrival of the multi-path signals,and through simulation analysis and experiments.Verify the feasibility of the algorithm.First,an array received signal model is established that is propagated through underwater multi-channel channels.Two deconvolution angle estimation algorithms—Richardson-Lucy algorithm and FESCCO algorithm — are studied based on convolution relationships in the airspace.Then,a simulation test is performed to analyze the performance of the algorithm in terms of array gain,robustness,and extreme angular resolution.The results show that both deconvolution algorithms can improve angle resolution and array processing gain,and have good robustness.The RL algorithm has better angle resolution when the signal-to-noise ratio is high.Then,based on the angle dimension processing,the two deconvolution algorithms described above are extended to the time dimension and used to determine the channel estimation problem of the transmitted signal.The performance of the two deconvolution algorithms is analyzed through simulation.The FESCCO algorithm overcomes the defects that the Richardson-Lucy algorithm cannot estimate the negative channel,and has extremely high delay estimation accuracy.Compared with the traditional copy correlator,the delay resolution of the FESCCO algorithm can be improved by 5 times through the pool test.The lake test data processing results also verify its good delay resolution ability.Finally,a conventional spatiotemporal two-dimensional processing method is used to obtain a two-dimensional spatiotemporal distribution with angle-delay information.Then two deconvolution algorithms are applied to the space and time two-dimensional maps of thetime-angle history map for high resolution angle and time delay estimation,to obtain a high-resolution history map of angle and time dimensions.Then,two kinds of deconvolution algorithms are combined to perform high-resolution angle-delay estimation on the time-angle history map to obtain a two-dimensional space-time distribution with high-resolution angle-delay information.The feasibility of the method is verified by simulation,and the optimal deconvolution combination algorithm of FESCCO-RL is given.The lake test data was used to verify the practical feasibility of the combined deconvolution algorithm.In summary,this paper studies a two-dimensional space-time estimation algorithm based on deconvolution.Simulation and experimental results show that the two-dimensional space-time estimation of deconvolution has both high-resolution time delay and angle estimation accuracy,which can effectively improve the positioning accuracy.