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Your search keyword '"Hong, Bingqing"' showing total 2 results
Start Over Author "Hong, Bingqing" Topic interference suppression
2 results on '"Hong, Bingqing"'

1. Ergodic Interference Alignment for Spectrum Sharing Radar-Communication Systems.

Author

Hong, Bingqing, Wang, Wen-Qin, and Liu, Cong-Cong

Subjects
*MIMO systems, *BIT error rate, *MIMO radar, *LIKELIHOOD ratio tests, *SHARING, *RADAR signal processing, *INTERFERENCE suppression
Abstract

In this paper, we propose an ergodic interference alignment (IA) method for interference elimination in spectrum sharing multiple-input multiple-output (MIMO) radar and multi-user MIMO communication systems. In existing ergodic IA methods, the channel state information (CSI) is generally assumed to be constant, but time-varying channels should be considered in practice. Differently, our proposed ergodic IA allows to time-varying and/or frequency selective channels for spectrum sharing radar-communication systems. The essence is equivalent to design a simple transmit beamforming, which helps to find a pair of desired complementary channels easily without long-time system delay, therefore, the interferences can be effectively cancelled. The proposed method is evaluated by generalized likelihood ratio test (GLRT) and signal to interference plus noise ratio (SINR) for the radar functionality, while the communication functionality is examined by bit error rate (BER) performance. Both theoretical analysis and simulation results validate that the effectiveness of the ergodic IA method for spectrum sharing radar-communication systems. [ABSTRACT FROM AUTHOR]

Published
2019
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2. Mutual interference alignment for co-existing radar and communication systems.

Author

Hong, Bingqing, Wang, Wen-Qin, and Liu, Cong-Cong

Subjects
*MIMO systems, *RADAR targets, *RADAR, *TELECOMMUNICATION systems, *MIMO radar, *NUMERICAL analysis, *SIGNAL-to-noise ratio
Abstract

In this paper, we propose a mutual interference alignment (IA) method for interference elimination in co-existing multiple-input multiple-output (MIMO) radar and multi-user MIMO communication systems, namely, radar-communication systems. Traditional IA methods proposed for communication systems cannot be directly adopted in the radar-communications due to failure to fulfill the requirements of radar target detection. In contrast, our proposed mutual IA method can efficiently improve the signal-to-noise ratio (SNR) needed by radar functionalities without reducing the degrees-of-freedom (DoFs) of communication system, which implies no degradation for the communication performance. The algorithm idea is first to align all interferences at every receiver to one signal space, then the interferences can be easily canceled by receive filter. It is examined by the Neyman-Pearson (NP) test for radar functionality, while the communication performance is evaluated by DoFs and bit error rate (BER) analysis. Both theory analysis and numerical results are provided to validate the effectiveness of the proposed mutual IA method for co-existing radar and communication systems. [ABSTRACT FROM AUTHOR]

Published
2021
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