1) multicomponent polynomial phase signal
多分量多项式相位信号
1.
The influence of the translation and rotation on a space target is analyzed in detail and the radar echoes backscattered by a space target are modeled using multicomponent polynomial phase signal (mc-PPS) model.
详细分析了高速平动和旋转运动对空间目标一维成像的影响,建立了目标雷达回波多分量多项式相位信号(mc PPS)模型,采用基于多延迟乘积型高阶模糊函数(ml PHAF)的方法估计模型参数,并提出了两类不同稳定姿态的空间目标的运动补偿方法。
2) polynomial phase
多项式相位信号
1.
Time-delay estimation problem for a class of nonstationary signals with random amplitude polynomial phase signals is explored.
研究了一类非平稳信号具有随机幅度的多项式相位信号的时延估计问题。
2.
A novel approach was proposed for the Chirp parameter estimation by exploiting the polynomial phase transform (PT) and the adaptive recursive least square (RLS) algorithm.
利用多项式变换将多项式相位信号(PPS)转变为具有线性相位的谐波信号,这一谐波信号满足AR(Autoregressive)模型且其频率对应于多项式相位的最高次项系数。
3) polynomial phase signal
多项式相位信号
1.
To estimate the parameters for linear frequency modulation(LFM) radar signal in the polynomial phase signal(PPS),the high-order ambiguity function(HAF) for suboptimal parameter estimation of PPS is improved based on the proposed spectrum s maximum variance principle.
针对多项式相位信号(PPS)中的线性调频(LFM)雷达信号参数估计,通过提出频谱方差极大值准则对PPS次优参数估计方法高阶模糊度函数(HAF)进行了改进,提出了适于单分量LFM参数估计的改进HAF。
2.
A parameter estimation method of polynomial phase signals is studied in this paper.
研究了多项式相位信号的参数估计问题。
3.
Based on parametric model of signal-multicomponent polynomial phase signal,a novel time frequency kernel is presented.
立足于信号的参数化模型—多分量多项式相位信号,提出了一种新的时频分布并给出了其构造方法。
4) PPS
[英][,pi: pi: 'es] [美]['pi 'pi 'ɛs]
多项式相位信号
1.
Parameter Estimation of Multi-Component PPS Based on HAF
一种基于HAF的多分量多项式相位信号参数估计算法
2.
A new spatial higher order cumulant L-Wigner distribution based on L-Wigner distribution (LWD) is defined, and a scheme of DOA estimation for multiple PPS signals is presented by employing virtual time-frequency ESPRIT algorithm with extended array.
基于L-Wignrer分布(LWD),定义了一种全新的空间高阶累积量L-Wign-er分布,并利用虚拟时频ESPRIT算法与阵列扩展,提出了一种多个多项式相位信号(PPS)的DOA估计算法。
5) polynomial-phase signal
多项式相位信号
1.
Under additive Gaussian white noise environment, signal model of polynomial-phase signal is presented.
在加性高斯白噪声的背景下,建立了多项式相位信号的信号模型。
6) short sequence polynomial-phase signals
短序列多项式相位信号
1.
Parameter estimation for short sequence polynomial-phase signals;
短序列多项式相位信号的参数估计
补充资料：多项式乘多项式法则
Image:1173836820929048.jpg
多项式乘多项式法则
先用一个多项式的每一项乘以另一个多项式的每一项，再把所得的积相加。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。