摘要
本文首先分析了现有的基于PHAF估计mc PPS相位参量方法的局限性 .提出了先由对应于不同时间延迟参数的高阶模糊度函数估计出一组相位系数估值 ,然后采取表决方法从该组估值中提取出最终相位系数估值的参量估计方法 .该方法既回避了信号检测中的阈值选取问题 ,又提高了检测可靠性及参量估计精度 .
This paper addresses the issue of detection and parameter estimation of multicomponent Polynomial Phase Signals (mc-PPS's) embedded in noise, based on high-order ambiguity function (HAF). We first show how existing PHAF-based techniques (PHAF-product HAF) are inadequate, mainly in providing reliable detection for mc-PPS. The main contribution of this paper is that we present a novel parameter estimation method. Firstly, given a set of time delay, it gives rise to a set of estimates of phase coefficients based on HAF. Then it produces a final estimate of phase coefficient by means of voting. The new method improves the probability of detection and estimation accuracy while avoiding the issue of threshold selection. More importantly, it is computationally much less demanding, and can be realized in real time. So it is of great significance in engineering applications. Computer simulations are carried out to illustrate the advantage of the proposed method over existing techniques.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2004年第12期2031-2034,共4页
Acta Electronica Sinica
关键词
多分量多项式相位信号
高阶模糊度函数
参量估计
Computer simulation
Functions
Parameter estimation
Polynomials
Probability
Signal detection
Signal to noise ratio
Time domain analysis
