针对现有椭圆球面波调制信号预失真方法算法复杂度高、预失真器工作效率较低的问题,结合椭圆球面波调制信号的幅值特点和功率放大器对信号非线性失真特性,引入分段处理的思想,提出了一种改进并行两箱预失真方法。通过设置阈值门限,对调...针对现有椭圆球面波调制信号预失真方法算法复杂度高、预失真器工作效率较低的问题,结合椭圆球面波调制信号的幅值特点和功率放大器对信号非线性失真特性,引入分段处理的思想,提出了一种改进并行两箱预失真方法。通过设置阈值门限,对调制信号进行分段处理,仅对信号中大幅值分量进行处理,算法复杂度低,更易于工程实现。理论分析和仿真结果表明,当阈值门限为0.5时,与并行两箱预失真方法相比,所提预失真方法算法复杂度降低为原算法10%以下;当误比特率为10-5时,相对于未经放大器失真的调制信号,所需信噪比仅增加约0.02 d B。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
文摘该文针对椭圆球面波(Prolate Spheroidal Wave Function,PSWF)时域正交调制信号峰均功率比过高,易受功率放大器非线性影响,造成信号失真,导致系统解调性能下降的问题,提出一种基于μ律压缩的自适应峰均比抑制方法。该方法能够根据输入信号自适应调节压缩参数,有效压缩信号峰值,降低PSWF调制信号峰均功率比(Peak-to-Average Power Ratio,PAPR),同时保证压缩前后信号平均功率不变。理论论证和仿真结果表明,该方法能够有效抑制PSWF调制信号PAPR,当压缩参数m为1且互补累计分布函数CCDF为410-时,压缩后调制信号与原调制信号相比PAPR降低约2.1 d B;有效改善经过功放后调制信号功率谱和系统在高斯白噪声信道下的误码性能。
文摘针对现有椭圆球面波调制信号预失真方法算法复杂度高、预失真器工作效率较低的问题,结合椭圆球面波调制信号的幅值特点和功率放大器对信号非线性失真特性,引入分段处理的思想,提出了一种改进并行两箱预失真方法。通过设置阈值门限,对调制信号进行分段处理,仅对信号中大幅值分量进行处理,算法复杂度低,更易于工程实现。理论分析和仿真结果表明,当阈值门限为0.5时,与并行两箱预失真方法相比,所提预失真方法算法复杂度降低为原算法10%以下;当误比特率为10-5时,相对于未经放大器失真的调制信号,所需信噪比仅增加约0.02 d B。
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.
