A common method to estimate an unknown integer parameter vector in a linear model is to
solve an integer least squares (ILS) problem. A typical approach to solving an ILS problem is …

With the escalating demand for high speed, high reliability, low latency, low cost and
ubiquitous connectivity, the telecommunications industry is entering a new era where the …

This paper intends to shed light on the decorrelation or reduction process in solving integer
least squares (ILS) problems for ambiguity determination. We show what this process should …

The fast and accurate solution of integer ambiguity is the key to achieve GNSS high-
precision positioning. Based on the lattice theory of high-dimensional ambiguity solving, the …

The integer least squares problem is an important problem that arises in numerous
applications. We propose a real relaxation-based branch-and-bound (RRBB) method for this …

为了提高GNSS 高维模糊度的解算效率, 提出一种改进的GNSS 模糊度快速降相关算法.
算法采用对称旋转排序策略和延后降相关策略对下三角Cholesky 分解的整数高斯变换算法进行 …

The LLL lattice reduction has been widely used to decrease the bit error rate (BER) of the
Babai point, but its running time varies much from matrix to matrix. To address this problem …

Estimating the integer parameter vector in a linear model with additive Gaussian noise
arises from many applications, including communications, control, and global navigation …

A wide range application of navigation satellite system forces the operator administrations
upgrading their systems. Currently not least than three modernised global satellite systems …

针对Lenstra-Lenstra-Lovász (LLL) 规约算法在高维情况下规约耗时较大的特点,
采用贪心算法和部分列向量规约, 减少LLL 算法规约过程中的基向量交换和尺度规约次数 …