Adaptive digital self-interference cancellation(ADSIC)is a significant method to suppress self-interference and improve the performance of the linear frequency modulated continuous wave(LFMCW)radar.Due to efficient im...Adaptive digital self-interference cancellation(ADSIC)is a significant method to suppress self-interference and improve the performance of the linear frequency modulated continuous wave(LFMCW)radar.Due to efficient implementation structure,the conventional method based on least mean square(LMS)is widely used,but its performance is not sufficient for LFMCW radar.To achieve a better self-interference cancellation(SIC)result and more optimal radar performance,we present an ADSIC method based on fractional order LMS(FOLMS),which utilizes the multi-path cancellation structure and adaptively updates the weight coefficients of the cancellation system.First,we derive the iterative expression of the weight coefficients by using the fractional order derivative and short-term memory principle.Then,to solve the problem that it is difficult to select the parameters of the proposed method due to the non-stationary characteristics of radar transmitted signals,we construct the performance evaluation model of LFMCW radar,and analyze the relationship between the mean square deviation and the parameters of FOLMS.Finally,the theoretical analysis and simulation results show that the proposed method has a better SIC performance than the conventional methods.展开更多
Recent research shows that it is possible to achieve the full-duplex system by cancelling strong self-interference signals, which can be divided into three classes respectively, i.e., passive cancellation, active canc...Recent research shows that it is possible to achieve the full-duplex system by cancelling strong self-interference signals, which can be divided into three classes respectively, i.e., passive cancellation, active cancellation and digital cancellation. This pa- per tries to achieve the full-duplex system without using active cancellation, thus a full-duplex system using a joint mechanism based on a novel passive cancellation method and a novel digital cancellation method is proposed. Therein, a good antenna place- ment guided by the theory of the antenna electromagnetic field for the passive cancellation is presented. For the proposed digital can- cellation method, unlike previous separate mechanisms, it is de- signed by using the recursive least square (RLS) algorithm jointly with passive cancellation. The self-interference channel state in- formation (CSI) is transferred as the input of digital cancellation to balance the performance and the complexity. Experimental results show that the proposed self-interference cancellation mechanism can achieve about 85 dB which is better than the previous re- search. Meanwhile, this design provides a better performance compared with half-duplex with both line-of-sight channel and non- line-of-sight channel.展开更多
同频同时全双工是第5代(5G)通信关键技术之一,数字自干扰抵消算法是其重要研究方向。针对非线性数字自干扰抵消算法中,失真系数估计受到自干扰信道估计误差的影响这一问题,该文提出一种基于辅助符号的非线性自干扰抵消算法,通过对辅助...同频同时全双工是第5代(5G)通信关键技术之一,数字自干扰抵消算法是其重要研究方向。针对非线性数字自干扰抵消算法中,失真系数估计受到自干扰信道估计误差的影响这一问题,该文提出一种基于辅助符号的非线性自干扰抵消算法,通过对辅助符号做自干扰抵消,将信道估计符号的失真误差映射到其抵消结果中并提取出来,从中估计失真系数。接着针对算法开销问题提出一种简化实现方案。仿真结果显示,接收自干扰信号为-5 d Bm时,算法可将自干扰非线性失真分量抵消至约-100 d Bm,且性能随接收自干扰功率降低而提高。展开更多
文摘Adaptive digital self-interference cancellation(ADSIC)is a significant method to suppress self-interference and improve the performance of the linear frequency modulated continuous wave(LFMCW)radar.Due to efficient implementation structure,the conventional method based on least mean square(LMS)is widely used,but its performance is not sufficient for LFMCW radar.To achieve a better self-interference cancellation(SIC)result and more optimal radar performance,we present an ADSIC method based on fractional order LMS(FOLMS),which utilizes the multi-path cancellation structure and adaptively updates the weight coefficients of the cancellation system.First,we derive the iterative expression of the weight coefficients by using the fractional order derivative and short-term memory principle.Then,to solve the problem that it is difficult to select the parameters of the proposed method due to the non-stationary characteristics of radar transmitted signals,we construct the performance evaluation model of LFMCW radar,and analyze the relationship between the mean square deviation and the parameters of FOLMS.Finally,the theoretical analysis and simulation results show that the proposed method has a better SIC performance than the conventional methods.
基金supported by the National Natural Science Foundation of China(601720456103200661271282)
文摘Recent research shows that it is possible to achieve the full-duplex system by cancelling strong self-interference signals, which can be divided into three classes respectively, i.e., passive cancellation, active cancellation and digital cancellation. This pa- per tries to achieve the full-duplex system without using active cancellation, thus a full-duplex system using a joint mechanism based on a novel passive cancellation method and a novel digital cancellation method is proposed. Therein, a good antenna place- ment guided by the theory of the antenna electromagnetic field for the passive cancellation is presented. For the proposed digital can- cellation method, unlike previous separate mechanisms, it is de- signed by using the recursive least square (RLS) algorithm jointly with passive cancellation. The self-interference channel state in- formation (CSI) is transferred as the input of digital cancellation to balance the performance and the complexity. Experimental results show that the proposed self-interference cancellation mechanism can achieve about 85 dB which is better than the previous re- search. Meanwhile, this design provides a better performance compared with half-duplex with both line-of-sight channel and non- line-of-sight channel.
文摘同频同时全双工是第5代(5G)通信关键技术之一,数字自干扰抵消算法是其重要研究方向。针对非线性数字自干扰抵消算法中,失真系数估计受到自干扰信道估计误差的影响这一问题,该文提出一种基于辅助符号的非线性自干扰抵消算法,通过对辅助符号做自干扰抵消,将信道估计符号的失真误差映射到其抵消结果中并提取出来,从中估计失真系数。接着针对算法开销问题提出一种简化实现方案。仿真结果显示,接收自干扰信号为-5 d Bm时,算法可将自干扰非线性失真分量抵消至约-100 d Bm,且性能随接收自干扰功率降低而提高。