在UCA-UCFO框架中基于HOOI的快速参数估计算法
Yuan Wang1, Xianpeng Wang1, Ting Su1
1School of Information and Communication Engineering, Hainan University, Haikou 570228, China.
Sensors (Basel, Switzerland)
|December 23, 2023
概括
本研究介绍了一种新的雷达技术,用于使用多频阵列多输入多输出 (FDA-MIMO) 系统来估计目标范围和角度. 与现有方法相比,该方法提供更快的操作和更低的计算复杂性.
科学领域:
- 雷达信号处理 雷达信号处理
- 阵列信号处理 阵列信号处理
- 电磁学 电磁学 电磁学 电磁学
背景情况:
- 多频阵列 (FDA) 系统在雷达应用中提供了增强的功能.
- 准确估计目标参数,如距离和角度,对于雷达性能至关重要.
- 对于FDA-MIMO系统的现有方法在计算复杂性和操作速度方面面临挑战.
研究的目的:
- 为FDA-MIMO雷达引入一种新的缩小维数多信号分类 (RD-MUSIC) 技术.
- 为了能够高效地估计目标范围和角度,展开 coprime 阵列 (UCA) 配置与展开 coprime 频率偏移 (UCFO).
- 为了减少计算复杂性和提高参数估计的操作速度.
主要方法:
- 使用高阶直角代 (HOOI) 来进行接收信号的张量分解.
- 从HOOI衍生矩阵构建一个二维光谱函数.
- 使用拉格朗奇乘法来推导一个1D光谱函数来估计到达方向 (DOA).
- 利用拉格朗基函数和旋转不变的部分导数来估计目标范围.
主要成果:
- 通过HOOI提出的RD-MUSIC技术表明,与高阶单值分解 (HOSVD) 相比,计算复杂性降低.
- 该方法在参数估计中实现了改进的操作速度.
- 数字模拟证实了拟议技术的有效性和优越性.
结论:
- 通过HOOI的RD-MUSIC技术为FDA-MIMO雷达系统中的目标距离和角度估计提供了高效和有效的解决方案.
- 这种方法在速度和计算负载方面比传统方法具有显著的优势.
- 该研究通过严格的模拟验证了拟议方法的性能.
相关概念视频
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
515
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
515
Calibration Curves: Linear Least Squares
1.3K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
For data that follow a straight line, the standard method for fitting is the linear...
1.3K
Cluster Sampling Method
11.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.9K
Distributions to Estimate Population Parameter
4.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.1K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
56
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
56
Estimation of the Physical Quantities
4.3K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
4.3K


