scholarly journals Transmitter and receiver design for integrated full‐duplex multiple‐input‐multiple‐output communication and multiple‐input‐multiple‐output radar system

2022 ◽  
Author(s):  
Shengnan Shi ◽  
Zishu He ◽  
Ziyang Cheng
Keyword(s):  
Multiple Input Multiple Output ◽  
Radar System ◽  
Full Duplex ◽  
Receiver Design ◽  
Multiple Input ◽  
Input Multiple Output

scholarly journals A MMSE-based Beamforming Algorithm for MIMO Point-to-Point Full-Duplex Communication Systems

2017 ◽  
Vol 1 (3) ◽  
pp. 72
Author(s):  
Tu Bui-Thi-Minh ◽  
Xung Le ◽  
Vien Nguyen-Duy-Nhat
Keyword(s):  
Interference Cancellation ◽  
Communication Systems ◽  
Multiple Input Multiple Output ◽  
Full Duplex ◽  
Rate Maximization ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Point To Point ◽  
Transmitting Antenna ◽  
Beamforming Algorithm

In this paper, we focus on the precoding design for sum rate maximization while considering the effects of residual SI for point – to-point multiple input/multiple output (MIMO) Full-Duplex systems. The MMSE-based beamforming algorithm was proposed to cancel the SI. The results shown that, the self-interference cancellation is done by matrix precoding at the transmitter if the total number of transmitting antenna of two nodes is greater than the number of receiving antenna of one node. The Bit Error Rate (BER) was also evaluated in the simulation.

scholarly journals An Implementation Scheme of Range and Angular Measurements for FMCW MIMO Radar via Sparse Spectrum Fitting

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 389
Author(s):  
Lidong Huang ◽  
Xianpeng Wang ◽  
Mengxing Huang ◽  
Liangtian Wan ◽  
Zhiguang Han ◽  
...  
Keyword(s):  
Continuous Wave ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Radar System ◽  
Superior Performance ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Angular Measurements ◽  
Implementation Scheme ◽  
Spectrum Fitting

The work presented in this paper is about implementing a frequency-modulated continuous wave (FMCW) multiple-input multiple-output (MIMO) positioning radar and a sparse spectrum fitting (SpSF) algorithm for range and angular measurements. First, we designed a coherent FMCW MIMO radar system working in the S-band with low power consumption that consists of four transmitter and four receiver antennas and has the ability to extend its virtual aperture; thus, this system can achieve a higher resolution than conventional phased array radars. Then, the SpSF algorithm was designed for estimating the distance and angle of the targets in the FMCW MIMO radar. Due to the fact that the SpSF algorithm can exploit the spatial sparsity diversity of a signal, the SpSF algorithm that is applied in the designed MIMO radar system can achieve a better estimation performance than the multiple signal classification (MUSIC) and Capon algorithms, especially in the context of small snapshots and low signal-to-noise ratios (SNRs). The simulated and experimental results are used to prove the effectiveness of the designed MIMO radar and the superior performance of the algorithm.

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