摘要
在宽频段内进行信号参数估计时，从节约高速ＡＤＣ硬件花费和减少系统的复杂性两方面考虑，信号欠采样是一种可行的方法。现有一些方法虽然能有效地消除频率估计模糊，但是要损失其他特征信息和没有考虑信号带宽对频率估计的影响。本文基于ＦＦＴ技术和分类算法提出一种新的多个欠Ｎｙｑｕｉｓｔ采样的带宽信号频率无模糊估计方法。只要严格地选取ＡＤＣ的采样速率，频率估计误差就能控制在与信号带宽和其他因素有关的误差范围内。同时，该方法还保留了信号的其他特征信息。计算机模拟实验验证了方法的有效性。
Considering from lowering the ADC cost and reducing the complexity of realworld realization system, signal with subNyquist sampling, which has been extensively employed, is a available way of estimating frequencies of signals within high and wide band. Although some existing methods can effectively resolve ambiguity of the estimated frequency, parts of characteristic information, such as amplitude, phase, modulation and so on, have been largely lost, the affection on the signal frequency band has yet not been considered. Based on FFT technology and sorting algorithm, a new approach for unambiguous estimating frequencies of multiple subNyquist sampling wideband signals is proposed. With choosing ADC sampling rates strictly, the errors of the estimated frequencies are bounded by signal frequency band and other factors. Moreover, the proposed approach does not lose any signal characteristic information. Computer simulation confirms its availability.
出处
《数据采集与处理》
CSCD
1998年第1期17-20,共4页
Journal of Data Acquisition and Processing
基金
国防科工委"95"军事预研项目
