TLS-ESPRIT法在电压闪变参数估计中的应用

传统闪变检测方法以准确提取调幅波包络线为前提,过程复杂,运算量大。将TLS-ESPRIT法直接用于闪变检测,提出将电压闪变信号通过三角函数分解转化成间谐波信号,构成数据矩阵并进行奇异值分解(SVD),通过总体最小二乘法(TLS)求解旋转方程得到频率,用最小二乘法(LS)估计幅值,并由信号转化等式求得电压闪变信号的频率和幅值。针对被间谐波污染的闪变信号,提出根据双边带特性,检测间谐波频率并进行处理。仿真结果表明:直接检测闪变信号,估计信号参数,实现过程简单,运算量小,且TLS-ESPRIT法抗噪能力强,有效提高了低信噪比条件下闪变信号的检测精度。

色噪声背景下正弦参量估计的互ESPRIT法

互谱估计方法是用于色声背景下正弦参量估计的一个非常有效的方法。互 Ｅ Ｓ Ｐ Ｒ Ｉ Ｔ 法除克服了互 Ｍ Ｕ Ｓ Ｉ Ｃ 法所需的谱峰搜索所带来的计算量非常大之外，也消除了采用自相关函数的 Ｅ Ｓ Ｐ Ｒ Ｉ Ｔ 法本身所含方差大的缺点。

正弦参量估计的四阶累积量ESPRIT方法

本文讨论高斯有色噪声中的正弦信号参量估计问题。利用观测值的高阶统计量信息，建立了四阶累积量ＥＳＰＲＩＴ方法。模拟实验结果表明，该方法不仅具有很高的频率分辨率，而且能抑制高斯有色噪声的影响。

利用ESPRIT方法实现信号频率/相位的联合估计

目的研究阵列信号频率／相位的联合估计方法．方法设３个天线组成的天线阵，接收到含有多个谐波的回波信号，由计算机仿真产生不同信噪比下这些回波的数据序列样本，利用旋转不变技术（ＥＳＰＲＩＴ）计算出各谐波的频率和相位差，实现信号频率／相位的联合估计．结果计算机仿真结果表明，当Ｓ／Ｎ＞１０ｄＢ时，频率和相位估计值的标准误差均趋于０．结论ＥＳＰＲＩＴ方法可用于估计雷达信号的多普勒频率和相位差，并由此得到目标的运动参数以及运动轨迹．

用子空间旋转不变法同时估计水下多目标的距离和方位

提出了一种可在单次回波内同时完成方位和时延估计的高分辨新方法，它采用于空间旋转不变法（ＥＳＰＭＴ方法）的思路构造两个子阵，通过对其自相关矩阵和互相关矩阵的广义特征分解，用特征值估计多目标方位，用特征向量估计多目标时延，利用特征值和特征矢量的对应关系自动实现方位和时延参数的配对．计算机仿真结果表明，该方法的分辨能力、估计精度和正确配对概率都优于常规方法，较好地实现了水下多目标距离和方位的同时估计及配对，进而可对多目标进行定位．

ESPRIT-Based Feature Extraction of Helicopter Acoustic Signal

Aim To extract harmonic frequencies of helicopter acoustic signal as features for hel icopter identification. Methods Estimation of signal parameters via rotational invariance techniques(ESPRIT) was selected to extract harmonic frequencies from really measured helicopter acoustic signal and an algorithm based on the SVD TLS was used. Results ESPRIT correctly extracted harmonic frequencies of helicopter using the data of limited length under the variousflight conditions. Conclusion ESPRIT is an effective method of extracting harmonic frequencies and using harmonic frequencies of helicopter acoustic signal to recognize helicopter is feasible.

双基地MIMO雷达的DOD和DOA联合估计

将收发端各分成两子阵,建立了非均匀线阵下的双基地多输入多输出雷达数学模型。提出了ESPRIT谱搜索法和ESPRIT多项式求根法两种角度估计算法,并利用最大似然估计法实现了参数的正确配对,其优点是当不能提取出收发旋转不变因子时,应用本文算法仍能进行角度估计,放宽了ESPRIT算法对阵元配置的要求。仿真实验表明,低信噪比时,ESPRIT多项式求根法的估计精度优于ESPRIT谱搜索法;高信噪比时,两者的测向精度均接近于克拉美罗下限。同时,ESPRIT多项式求根法避免了谱峰搜索,极大地减少了计算量,在实际应用中更有利于推广。

Multi-Component Signal Processing for the Short Range Radar

To study the measurement of distance under the condition of the frequency modulation (FM) multi component signal of a short range radar, the multi points scattering model of a target, the TLS ESPRIT (total least square estimation of signal parameters via rotational invariance techniques) and the mathematical statistics methods were used. The method of computing single frequency signal's instantaneous frequency (IF) is unsuitable to the multi component signal. By using the method of the TLS ESPRIT combined with the mathematical statistics, the multi component signal's IF can be obtained. The computer simulation has shown that the method has the high accuracy for measuring the distance.

Application of frequency estimation algorithm based on a single vector sensor in underwater acoustic communication

A method of high resolution frequency estimation based on a single vector sensor using ESPRIT （Estimating Signal Parameters via Rotational Invariance Techniques） algorithm is proposed and applied to the underwater acoustic （UWA） communication system of frequency modulation. Higher resolution frequency estimation can be obtained by this algorithm using fewer snapshots comparing with the sound intensity frequency estimation. Results of simulation and lake experiment show that the proposed algorithm can improve the communication data rate and reduce the bandwidth of the system. Because higher signal-to-noise ratio （SNR） is demanded, range UWA communication at oresent. this algorithm can be used in high speed short