估计精度

提高SINS初始对准方位失准角估计精度的方法

Novel technology for improving estimation accuracy of the azimuth misalignment angle in SINS initial alignment

在此基础上，通过构造新的扩展数据模型，提出了一种扩展的分数低阶循环MUSIC算法，该算法具有较高的估计精度。

Furthermore , an extended fractional lower order cyclic MUSIC algorithm is proposed by constructing a new extended data model . The algorithm has higher estimation accuracy .

当噪声样本值不准确时，估计精度与门限K的选择有关。

As for the imprecise noise samples , the estimation precision is dependent on the threshold parameter K.

第一种算法与现有的PL、HA算法相比，能显著提高相位估计精度。

The first one has improved phase offset estimation accuracy comparing with existing PL and HA .

仿真结果表明，两种改进的MUSIC算法与其他算法相比有很高的估计精度，而且其分辨率也高于其他算法。

Simulation results show that the improved algorithm of two kinds of MUSIC with other algorithm has high precision , and its resolution is higher than other algorithms .

类MUSIC算法可以取得很高的估计精度，其性能优于类ESPRIT算法。

Similar MUSIC algorithm can achieve relative high estimate accuracy and its performance exceeds that of similar ESPRIT algorithm .

在正交频分复用（OrthogonalFrequencydivisionMultiplexing，OFDM）系统中，接收机的性能很大程度受信道估计精度的影响。

In Orthogonal Frequency Division Multiplexing ( OFDM ) systems , the performance of the receiver highly depends on the accuracy of channel estimation .

基于有监督学习的多视角人脸模型子空间学习算法，能够实现比无监督ISA学习算法得到更高的姿态估计精度。

It can gain more accuracy than the ( unsupervised ) learning algorithm in pose information estimation .

导弹预警卫星对TBM发射点参数估计精度分析

The Influence Analysis of Space Early Warning to the Precision of TBM 's Launch Point Parameter Estimation

现有的SAR图像目标峰值提取方法精度较低，其对目标峰值位置的估计精度只能达到像素级。

But , the accuracy of the existing method of target peak extraction is comparatively low and the estimation of peak 's position can only reach pixel-accuracy .

ESPRIT算法无需搜索，但是估计精度较低。

ESPRIT algorithm has no need to search , but it gets low accuracy .

为了提高低信噪比情况下的自适应时延估计精度和收敛速度，提出了一种基于HB加权的频域自适应时延估计新算法。

In this paper , a new frequency domain adaptive time delay estimation algorithm based on HB weighting is proposed .

通过Monte-Carlo仿真可以看出，该方法较之EKF滤波有更好的估计精度。

The Monte Carlo simulation results show that the estimator of GL-KF is more precise than that of EKF .

在各种高分辨测向算法中，TLSESPRIT估计精度较高，因不需要谱峰搜索而具有更小的运算量。

TLS-ESPRIT has higher angle resolution and precision , and that it has less computation than other high-resolution algorithms .

估计精度高、运算复杂度低、需求阵元数少、稳健的DOA估计算法一直是广大研究者追求的目标。

High estimation accuracy , low computational complexity , few number of needed array sensors and robust DOA estimation algorithm is the goal of many researchers .

水池试验研究还表明：在阵元域算法中，经过校正后的Root-MUSIC、ESPRIT和MODE算法具有良好的估计精度和低的信噪比分辨门限；

The water tank experiment demonstrates that in element-space , the calibrated Root-MUSIC , ESPRIT and MODE have low resolution threshold and good accuracy ;

提出的快速卡尔曼SLAM算法在保证估计精度的同时大大降低了计算复杂度，为复杂环境下实时解决SLAM问题提供了一种有效方法。

The presented algorithm , named ' Fast Kalman SLAM ', reduces computational complexity greatly and ensures estimation accuracy at the same time .

计算例子表明，5a定期生长量的总和估计精度在95%的概率保证下可达80%以上。

The estimation precision of 5 years ′ total increment is greater than 80 % for 95 % confidence .

多普勒中心估计精度的高低直接影响多普勒波束锐化（DBS）性能的优劣。

The precision of Doppler center estimation is of great importance to the performance of Doppler Beam Sharpening ( DBS ) .

离散傅立叶变换方法能够在DSP平台上通过FFT快速实现，而循环相关方法则具有很高的频率估计精度和很好的抗噪性能。

DFT method can be fast implemented on DSP platform by the use of FFT algorithm , while the method of cyclic correlation has better noise immunity performance and high estimation accuracy .

在传统方法的基础上给出了一些改进算法和新的解决方案，从而提高了SLAM算法的估计精度、一致性和计算效率，并且扩展了其应用范围。

Several improved methods and novel solutions are presented in order to improve consistency and computational efficiency , and additionally extend SLAM application domains .

仿真结果表明，相比基于四阶累积量切片的MUSIC方法，所提出的方法在高斯白噪声和有色噪声中，有效提高了低信噪比情况下的方位估计精度，降低了目标的分辨门限。

Computer simulation results show that compared with the 4th order cumulant slice MUSIC , the new estimator improves the estimating precision of DOA in low SNR and depresses the resolution threshold effectively in white spatial Gaussian noise and colored spatial Gaussian noise .

MUSIC算法在大信噪比、大快拍数的条件下具有很高的估计精度、分辨率以及算法稳健性，在理想情况下，其算法性能接近于克拉美-罗界。

MUSIC algorithm has a high resolution , estimation accuracy and stability in the condition of large signal to noise ratio ( SNR ) and a large number of snapshots , in the ideal case , the performance is close to Cramer-Rao bound .

因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。

Therefore it is better than the EKF filter nonlinear characteristics equation of state approach , which is more than the EKF filter estimation accuracy .

为提高无线传感器网络（WSN）的节点定位的估计精度，提出基于自由搜索优化的智能估计定位算法。

This paper proposes a novel intelligent estimation algorithm in Wireless Sensor Network ( WSN ) nodes location based on Free Search ( FS ) to improve the precision in location estimation .

Unscented卡尔曼滤波（UKF）在算法实现和估计精度方面均优于传统的扩展卡尔曼滤波（EKF）。

Unscented Kalman Filter ( UKF ) is a new filtering method , which is superior to the EKF in accomplishment and in estimation precision .

结果说明光谱微分技术能够提高LAI和CASI数据的相关性，因而可以改善LAI的估计精度。

Results show that the spectral derivative technique can increase the correlations between the LAIs and the CASI data and thus lead to improved accuracies of LAI estimation .

在此基础上将基于小生境的自适应遗传算法用于PMU的优化配置中，以提高状态估计精度为目标研究了PMU的优化配置。

On this basis study how to optimum the allocation of PMU using the algorithm of adaptive genetic algorithm based on niche aimed at improving state estimation accuracy .

计算机仿真表明了此方法估计精度高，对阵列误差鲁棒性强，并且各项性能都接近于CRB。

Numerical results show that the estimator bears high precision , good robust to general array error and the performance close to the CRB .

换言之，卡尔曼滤波对于噪声的不确定性是具有一定的鲁棒性的，并且就估计精度而言，其鲁棒性优于H∞滤波，但H∞滤波的估计速度优于卡尔曼滤波。

In other words , Kalman filter is of robust performance in respect to noise uncertainty , and Kalman filter is superior to H ∞ filter in terms of estimate accuracy , but H ∞ filter is superior to Kalman filter in terms of estimate speed .