Abstract-In this paper, we focus on target detection and system configuration optimization of Multiple-input Multiple-output (MIMO) radar in low-grazing angle, where the multipath effects are very abundant. The performance of detection can be improved via utilizing the multipath echoes. First, the reflection coefficient, considering the curved earth effect, is derived. Then, the general signal model for MIMO radar is introduced for low-grazing angle. Using the NeymanPearson sense, the detector of MIMO radar with multipath is analyzed. We use the deflection coefficient as a criterion of system configuration both for MIMO radar and phased-array radar. The simulation results show that the performance can be enhanced markedly when the multipath effects are considered, and the optimal configuration of phased-array radar is with the same number of transmitters as that of receivers, however, the optimal configuration of MIMO radar depends on the signal-to-noise ratio (SNR).

A highly selective dual-channel Hg 2+ chemosensor based on an easy to prepare double naphthalene Schiff base SCIENCE CHINA Chemistry 56, 612 (2013); Chaos synchronization with dual-channel time-delayed couplings SCIENCE CHINA Technological Sciences 59, 428 (2016); Ground moving target detection and location based on SAR images for distributed spaceborne SAR Science in China Series F-Information Sciences 48, 632 (2005); Integrating NIR light photocage enables in vivo dual-channel tracking of drug release SCIENCE CHINA Chemistry 61, 1347 (2018); Frequency band widening technique for cantilever-based vibration energy harvesters through dynamics of fluid motion Materials Science for Energy Technologies 1, 84 (2018);. RESEARCH PAPER. SCIENCE CHINA Information Sciences

This paper focuses on the target detection in low-grazing angle using a hybrid multiple-input multiple-output (MIMO) radar systems in compound-Gaussian clutter, where the multipath effects are very abundant. The performance of detection can be improved via utilizing the multipath echoes. First, the reflection coefficient considering the curved earth effect is derived. Then, the general signal model for MIMO radar is introduced in low-grazing angle; also, the generalized likelihood test (GLRT) and generalized likelihood ratio test-linear quadratic (GLRT-LQ) are derived with known covariance matrix. Via the numerical examples, it is shown that the derived GLRT-LQ detector outperforms the GLRT detector in low-grazing angle, and both performances can be enhanced markedly when the multipath effects are considered.

Ahstract-This paper focuses on the fluctuating target detec tion in low-grazing angle using Multiple-input Multiple-output (MIMO) radar systems with widely separated antennas, where the multipath effects are very abundant. The performance of detection can be improved via utilizing the multipath echoes. First, the reflection coefficient considering the curved earth effect is derived. Then, the general signal model for MIMO radar is introduced for fluctuating target in low-grazing angle. Using the Neyman-Pearson sense, detector of fluctuating target with multipath is analyzed. The simulation results show that the performance can be enhanced markedly when the multipath effects are considered.

Abstract-In this paper, we consider the problem of bistatic multipleinput multiple-output (MIMO) radar systems design for parameters estimation. Maximum channel capacity is used as criterion for the problem of optimal systems design under transmitted power constraint and channel constraint. We obtain that the system design based on maximum channel capacity can be expressed as a joint optimization problem. Given the number of transmit antenna, the number of receive antenna and signal-noise ratio (SNR), the maximum channel capacity can be determined. This maximum channel capacity can be obtained from a unique appropriate power allocation and antenna placement strategy, which is very important for system design.