The traditional super-resolution direction finding methods based on sparse recovery need to divide the estimation space into several discrete angle grids, which will bring the final result some error. To this problem,...The traditional super-resolution direction finding methods based on sparse recovery need to divide the estimation space into several discrete angle grids, which will bring the final result some error. To this problem, a novel method for wideband signals by sparse recovery in the frequency domain is proposed. The optimization functions are found and solved by the received data at every frequency, on this basis, the sparse support set is obtained, then the direction of arrival (DOA) is acquired by integrating the information of all frequency bins, and the initial signal can also be recovered. This method avoids the error caused by sparse recovery methods based on grid division, and the degree of freedom is also expanded by array transformation, especially it has a preferable performance under the circumstances of a small number of snapshots and a low signal to noise ratio (SNR).展开更多
Most of the direction of arrival(DOA) estimation methods often need the exact array manifold, but in actual applications,the gain and phase of the channels are usually inconsistent, which will cause the estimation inv...Most of the direction of arrival(DOA) estimation methods often need the exact array manifold, but in actual applications,the gain and phase of the channels are usually inconsistent, which will cause the estimation invalid. A novel direction finding approach for mixed far-field and near-field signals with gain-phase error array is provided. Based on simplifying the space spectrum function by matrix transformation, DOA of far-field signals is obtained. Consequently, errors of the array are acquired according to the orthogonality of far-field signal subspace and noise subspace.Finally, DOA of near-field signals can be estimated. The method merely needs one-dimensional spectrum searching, so as to improve the computational efficiency on the premise of ensuring a certain accuracy, simulation results manifest the effectiveness of the method.展开更多
In array signal processing,number of signals is often a premise of estimating other parameters.For the sake of determining signal number in the condition of strong additive noise or a little sample data,an algorithm f...In array signal processing,number of signals is often a premise of estimating other parameters.For the sake of determining signal number in the condition of strong additive noise or a little sample data,an algorithm for detecting number of wideband signals is provided.First,technique of focusing is used for transforming signals into a same focusing subspace.Then the support vector machine(SVM)can be deduced by the information of eigenvalues and corresponding eigenvectors.At last,the signal number can be determined with the obtained decision function.Several simulations have been carried on verifying the proposed algorithm.展开更多
For the direction of arrival(DOA) estimation,traditional sparse reconstruction methods for wideband signals usually need many iteration times.For this problem,a new method for two-dimensional wideband signals based ...For the direction of arrival(DOA) estimation,traditional sparse reconstruction methods for wideband signals usually need many iteration times.For this problem,a new method for two-dimensional wideband signals based on block sparse reconstruction is proposed.First,a prolate spheroidal wave function(PSWF) is used to fit the wideband signals,then the block sparse reconstruction technology is employed for DOA estimation.The proposed method uses orthogonalization to choose the matching atoms,ensuring that the residual components correspond to the minimum absolute value.Meanwhile,the vectors obtained by iteration are back-disposed according to the corresponding atomic matching rules,so the extra atoms are abandoned in the course of iteration,and the residual components of current iteration are reduced.Thus the original sparse signals are reconstructed.The proposed method reduces iteration times comparing with the traditional reconstruction methods,and the estimation precision is better than the classical two-sided correlation transformation(TCT)algorithm when the snapshot is small or the signal-to-noise ratio(SNR) is low.展开更多
This paper brings forward a method of experimental teaching reform of universities and colleges,which establishes an interactive simulation experiment platform with MATLAB simulation software.The platform uses visual ...This paper brings forward a method of experimental teaching reform of universities and colleges,which establishes an interactive simulation experiment platform with MATLAB simulation software.The platform uses visual man-machine interface,which avoids a lot of programming and debugging work,and improves students’learning enthusiasm.Simultaneously,it implements remote simulation based on JAVA under web environment,which is convenient for network teaching,and improves flexibility and practicability of the simulation experiment platform.展开更多
As the rapid development of information technology represented by mobile internet,internet of things,social computing,society has entered the age of big data,information technology and education teaching are also merg...As the rapid development of information technology represented by mobile internet,internet of things,social computing,society has entered the age of big data,information technology and education teaching are also merged gradually,microlecture as a new application of education and teaching took the wide attention of scholars.This paper analyzes the disadvantages of PAD class and takes microlecture to apply to two stage of PAD class.展开更多
基金supported by the National Natural Science Foundation of China(61501176)University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province(UNPYSCT-2016017)
文摘The traditional super-resolution direction finding methods based on sparse recovery need to divide the estimation space into several discrete angle grids, which will bring the final result some error. To this problem, a novel method for wideband signals by sparse recovery in the frequency domain is proposed. The optimization functions are found and solved by the received data at every frequency, on this basis, the sparse support set is obtained, then the direction of arrival (DOA) is acquired by integrating the information of all frequency bins, and the initial signal can also be recovered. This method avoids the error caused by sparse recovery methods based on grid division, and the degree of freedom is also expanded by array transformation, especially it has a preferable performance under the circumstances of a small number of snapshots and a low signal to noise ratio (SNR).
基金supported by the National Natural Science Foundation of China(6150117661505050)+5 种基金the University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province(UNPYSCT-2016017)the Natural Science Foundation of Heilongjiang Province(F2015015)the Outstanding Young Scientist Foundation of Heilongjiang University(JCL201504)the China Postdoctoral Science Foundation(2014M561381)the Postdoctoral Foundation of Heilongjiang Province(LBH-Z14178)the Special Research Funds for the Universities of Heilongjiang Province(HDRCCX-2016Z10)
文摘Most of the direction of arrival(DOA) estimation methods often need the exact array manifold, but in actual applications,the gain and phase of the channels are usually inconsistent, which will cause the estimation invalid. A novel direction finding approach for mixed far-field and near-field signals with gain-phase error array is provided. Based on simplifying the space spectrum function by matrix transformation, DOA of far-field signals is obtained. Consequently, errors of the array are acquired according to the orthogonality of far-field signal subspace and noise subspace.Finally, DOA of near-field signals can be estimated. The method merely needs one-dimensional spectrum searching, so as to improve the computational efficiency on the premise of ensuring a certain accuracy, simulation results manifest the effectiveness of the method.
基金This work was supported by the National Natural Science Foundation of China under Grant 61501176Natural Science Foundation of Heilongjiang Province F2018025+1 种基金University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province UNPYSCT-2016017the postdoctoral scientific research developmental fund of Heilongjiang Province in 2017 LBH-Q17149.
文摘In array signal processing,number of signals is often a premise of estimating other parameters.For the sake of determining signal number in the condition of strong additive noise or a little sample data,an algorithm for detecting number of wideband signals is provided.First,technique of focusing is used for transforming signals into a same focusing subspace.Then the support vector machine(SVM)can be deduced by the information of eigenvalues and corresponding eigenvectors.At last,the signal number can be determined with the obtained decision function.Several simulations have been carried on verifying the proposed algorithm.
基金supported by the National Natural Science Foundation of China(6150117661201399)+1 种基金the Education Department of Heilongjiang Province Science and Technology Research Projects(12541638)the Developing Key Laboratory of Sensing Technology and Systems in Cold Region of Heilongjiang Province and Ministry of Education,(Heilongjiang University),P.R.China(P201408)
文摘For the direction of arrival(DOA) estimation,traditional sparse reconstruction methods for wideband signals usually need many iteration times.For this problem,a new method for two-dimensional wideband signals based on block sparse reconstruction is proposed.First,a prolate spheroidal wave function(PSWF) is used to fit the wideband signals,then the block sparse reconstruction technology is employed for DOA estimation.The proposed method uses orthogonalization to choose the matching atoms,ensuring that the residual components correspond to the minimum absolute value.Meanwhile,the vectors obtained by iteration are back-disposed according to the corresponding atomic matching rules,so the extra atoms are abandoned in the course of iteration,and the residual components of current iteration are reduced.Thus the original sparse signals are reconstructed.The proposed method reduces iteration times comparing with the traditional reconstruction methods,and the estimation precision is better than the classical two-sided correlation transformation(TCT)algorithm when the snapshot is small or the signal-to-noise ratio(SNR) is low.
文摘This paper brings forward a method of experimental teaching reform of universities and colleges,which establishes an interactive simulation experiment platform with MATLAB simulation software.The platform uses visual man-machine interface,which avoids a lot of programming and debugging work,and improves students’learning enthusiasm.Simultaneously,it implements remote simulation based on JAVA under web environment,which is convenient for network teaching,and improves flexibility and practicability of the simulation experiment platform.
文摘As the rapid development of information technology represented by mobile internet,internet of things,social computing,society has entered the age of big data,information technology and education teaching are also merged gradually,microlecture as a new application of education and teaching took the wide attention of scholars.This paper analyzes the disadvantages of PAD class and takes microlecture to apply to two stage of PAD class.