The problem of compressive detection of random subspace signals is studied. We consider
signals modeled as s= Hx where H is an N× K matrix with K≤ N and x~ N (0 K, 1, σ∞ 2 IK) …

针对欠采样脉冲多普勒雷达信号参数估计中已有方法抗噪性差, 顺序参数估计方法中后续参数
估计受前面参数估计精度影响严重等问题, 该文提出一种基于有限新息率(Finite Rate of …

Compressive Sampling is an attractive way implementing analog to information conversion
(AIC), of which the most successful hardware architecture is modulated wideband converter …

We mainly focus on sampling the issues in relation to the pulse streams whose shapes have
been recognized. The recent finite rate of innovation (FRI) framework can sample impulsive …

The ultra wide band pulsed radar uses a very narrow pulse width. Sampling this narrow
pulse at the Nyquist rate requires a high sampling rate which necessitates a high rate …

We consider the problem of sampling pulse streams with known shapes. The recent finite
rate of innovation (FRI) framework has shown that such signals can be sampled with perfect …

In the problem of sub-Nyquist sampled pulse Doppler radar signals, the existing methods
have poor anti-noise performance, and the subsequent parameter estimation in the …

State of the art system development is very much required for UAVs (Unmanned Aerial
Vehicle) and other airborne applications, where miniature, lightweight and low‐power …

Although the 5G positioning accuracy has been greatly improved due to the support of
technologies such as large bandwidth and massive MIMO, it also brings a problem that the …

Large number of antenna elements are required in phased array radars to improve the
performance like long range target detection and tracking, high angular resolution, and …