In this paper, an enhanced adaptive nonlinear extended state observer (EANESO) for single-input single-output pure feedback systems in the presence of external time-varying disturbances is proposed. In this paper, a n...In this paper, an enhanced adaptive nonlinear extended state observer (EANESO) for single-input single-output pure feedback systems in the presence of external time-varying disturbances is proposed. In this paper, a nonlinear system with matched and mismatched disturbances is considered. The conventional extended state observer (ESO) can only be applied to systems that are in the form of integral chains. Moreover, this method has limitations in the face of mismatched disturbances. In the presence of time-varying disturbances, the traditional ESOs cannot estimate the disturbances accurately. To overcome this limitation, an EANESO is proposed in this paper. The main idea is to design the nonlinear ESO (NESO) to estimate the states of the system and multiple disturbances simultaneously. The observer gains are considered time-varying and adjusted with adaptation laws to improve the estimation accuracy and overcome the peaking phenomenon. Next, the proposed controller is designed based on output feedback to eliminate the effects of multiple disturbances and stabilize the closed-loop system. Subsequently, the stability analysis of the closed-loop system and convergence of the observer error are discussed. Finally, the proposed method is applied to the inverted pendulum system. The simulated results show good performance of the proposed method as compared with a recently published scheme in the related literature.展开更多
In this paper,we propose a novel deep learning(DL)-based receiver design for orthogonal frequency division multiplexing(OFDM)systems.The entire process of channel estimation,equalization,and signal detection is replac...In this paper,we propose a novel deep learning(DL)-based receiver design for orthogonal frequency division multiplexing(OFDM)systems.The entire process of channel estimation,equalization,and signal detection is replaced by a neural network(NN),and hence,the detector is called a NN detector(N^(2)D).First,an OFDM signal model is established.We analyze both temporal and spectral characteristics of OFDM signals,which are the motivation for DL.Then,the generated data based on the simulation of channel statistics is used for offline training of bi-directional long short-term memory(Bi-LSTM)NN.Especially,a discriminator(F)is added to the input of Bi-LSTM NN to look for subcarrier transmission data with optimal channel gain(OCG),which can greatly improve the performance of the detector.Finally,the trained N^(2)D is used for online recovery of OFDM symbols.The performance of the proposed N^(2)D is analyzed theoretically in terms of bit error rate(BER)by Monte Carlo simulation under different parameter scenarios.The simulation results demonstrate that the BER of N^(2)D is obviously lower than other algorithms,especially at high signal-to-noise ratios(SNRs).Meanwhile,the proposed N^(2)D is robust to the fluctuation of parameter values.展开更多
针对超短波信道快衰落、远近效应、多径效应等特点,针对现有渔船超短波通信系统噪声高、通信距离下降的问题,提出一种适用于渔船超短波通信系统的前端功率控制算法:利用双chirp前导信号实现发送端信号功率控制和接收端自动增益控制,先...针对超短波信道快衰落、远近效应、多径效应等特点,针对现有渔船超短波通信系统噪声高、通信距离下降的问题,提出一种适用于渔船超短波通信系统的前端功率控制算法:利用双chirp前导信号实现发送端信号功率控制和接收端自动增益控制,先通过一次检测chirp波相关峰值,获得信道的增益初估计,反馈调整AD前端的自动增益放大器,使信号达到合适的处理增益;通过检测第2个chirp波相关峰值,获得第2次增益估计;最后通过AR模型实现增益的精确估计与调整。仿真结果表明,该算法对接收端可以实现40 d B以上的增益调整,发送端可以节省30%以上的功耗。该算法的应用,可以降低超短波信道的背景噪声,改善渔业超短波信道环境,网络性能可得到提高。展开更多
针对现有密钥分发协议在水声信道环境下的信息泄露问题,提出了一种基于细粒度极化的隐蔽密钥分发(Covert Secret-key distribution based on Fine-grained Polarization,CSFP)方案.首先,采用一致最大功效检验方法建立敌手模型,并给出隐...针对现有密钥分发协议在水声信道环境下的信息泄露问题,提出了一种基于细粒度极化的隐蔽密钥分发(Covert Secret-key distribution based on Fine-grained Polarization,CSFP)方案.首先,采用一致最大功效检验方法建立敌手模型,并给出隐蔽密钥分发方案的形式化定义.考虑到水声信道的非对称性和衰落效应,根据注水原理推导出信息传输速率达到香农极限时最优码字符号分布对应的带宽以及信道容量,并利用莱布尼兹积分法则和黎曼积分的保号性推导出信道容量与信道增益的函数关系,通过计算水声信道增益对极化子信道的容量进行排序实现极化码的码字构造,确保信息传输速率达到香农极限.其次,对信息比特索引集合进行细粒度极化,采用链式结构将多个消息块依次链接实现信息比特索引序列的对齐,设计出多轮通信下隐蔽密钥分发的编码和解码算法,利用合法发送方和接收方共享的随机种子对首轮传输的消息块进行初始化,并从当前生成的密钥中提取出随机种子对后续消息块进行随机化,确保密钥分发过程的隐蔽性.最后,通过信息理论证明了CSFP方案的可靠性、随机性、保密性和隐蔽性,利用最大熵原理推导出水声信道环境下隐蔽性约束的可达性条件和隐蔽密钥生成速率.仿真结果表明,与现有方案相比,CSFP方案的隐蔽密钥生成速率平均提高了18.78%,隐蔽概率平均提高了38.29%.此外,CSFP方案生成的密钥成功通过了SP 800-22测试平台的随机性检测.展开更多
Background Channel electron multiplier(CEM)can be used to measure extremely few charged particles,such as electrons and ions.The CEM is widely used in particle detection,so it is very important to study their performa...Background Channel electron multiplier(CEM)can be used to measure extremely few charged particles,such as electrons and ions.The CEM is widely used in particle detection,so it is very important to study their performance parameters.Purposes Test and analyze the performance parameters of the CEM,such as resistance,gain,and pulse output for a single entrance photoelectron.Methods The heated tantalum filament is used as a stable and adjustable planar electron source to test the performance of the CEM in the analog mode.The performance parameters of the CEM in the pulse counting mode are tested by using the ultraviolet LED to excite the gold photocathode to generate a single photoelectron.Results and conclusions The gain of the CEM in the analog mode can reach more than 106 and the gain in the pulse counting mode can be two orders of magnitude higher.The curved helical channel has a greater advantage than the ordinary straight channel,which is conducive to weakening the ion feedback phenomenon.展开更多
文摘In this paper, an enhanced adaptive nonlinear extended state observer (EANESO) for single-input single-output pure feedback systems in the presence of external time-varying disturbances is proposed. In this paper, a nonlinear system with matched and mismatched disturbances is considered. The conventional extended state observer (ESO) can only be applied to systems that are in the form of integral chains. Moreover, this method has limitations in the face of mismatched disturbances. In the presence of time-varying disturbances, the traditional ESOs cannot estimate the disturbances accurately. To overcome this limitation, an EANESO is proposed in this paper. The main idea is to design the nonlinear ESO (NESO) to estimate the states of the system and multiple disturbances simultaneously. The observer gains are considered time-varying and adjusted with adaptation laws to improve the estimation accuracy and overcome the peaking phenomenon. Next, the proposed controller is designed based on output feedback to eliminate the effects of multiple disturbances and stabilize the closed-loop system. Subsequently, the stability analysis of the closed-loop system and convergence of the observer error are discussed. Finally, the proposed method is applied to the inverted pendulum system. The simulated results show good performance of the proposed method as compared with a recently published scheme in the related literature.
基金supported in part by the National Natural Science Foundation of China No.62001220the Natural Science Foundation of Jiangsu Province BK20200440the Fundamental Research Funds for the Central Universities No.1004-YAH20016,No.NT2020009。
文摘In this paper,we propose a novel deep learning(DL)-based receiver design for orthogonal frequency division multiplexing(OFDM)systems.The entire process of channel estimation,equalization,and signal detection is replaced by a neural network(NN),and hence,the detector is called a NN detector(N^(2)D).First,an OFDM signal model is established.We analyze both temporal and spectral characteristics of OFDM signals,which are the motivation for DL.Then,the generated data based on the simulation of channel statistics is used for offline training of bi-directional long short-term memory(Bi-LSTM)NN.Especially,a discriminator(F)is added to the input of Bi-LSTM NN to look for subcarrier transmission data with optimal channel gain(OCG),which can greatly improve the performance of the detector.Finally,the trained N^(2)D is used for online recovery of OFDM symbols.The performance of the proposed N^(2)D is analyzed theoretically in terms of bit error rate(BER)by Monte Carlo simulation under different parameter scenarios.The simulation results demonstrate that the BER of N^(2)D is obviously lower than other algorithms,especially at high signal-to-noise ratios(SNRs).Meanwhile,the proposed N^(2)D is robust to the fluctuation of parameter values.
文摘针对超短波信道快衰落、远近效应、多径效应等特点,针对现有渔船超短波通信系统噪声高、通信距离下降的问题,提出一种适用于渔船超短波通信系统的前端功率控制算法:利用双chirp前导信号实现发送端信号功率控制和接收端自动增益控制,先通过一次检测chirp波相关峰值,获得信道的增益初估计,反馈调整AD前端的自动增益放大器,使信号达到合适的处理增益;通过检测第2个chirp波相关峰值,获得第2次增益估计;最后通过AR模型实现增益的精确估计与调整。仿真结果表明,该算法对接收端可以实现40 d B以上的增益调整,发送端可以节省30%以上的功耗。该算法的应用,可以降低超短波信道的背景噪声,改善渔业超短波信道环境,网络性能可得到提高。
文摘针对现有密钥分发协议在水声信道环境下的信息泄露问题,提出了一种基于细粒度极化的隐蔽密钥分发(Covert Secret-key distribution based on Fine-grained Polarization,CSFP)方案.首先,采用一致最大功效检验方法建立敌手模型,并给出隐蔽密钥分发方案的形式化定义.考虑到水声信道的非对称性和衰落效应,根据注水原理推导出信息传输速率达到香农极限时最优码字符号分布对应的带宽以及信道容量,并利用莱布尼兹积分法则和黎曼积分的保号性推导出信道容量与信道增益的函数关系,通过计算水声信道增益对极化子信道的容量进行排序实现极化码的码字构造,确保信息传输速率达到香农极限.其次,对信息比特索引集合进行细粒度极化,采用链式结构将多个消息块依次链接实现信息比特索引序列的对齐,设计出多轮通信下隐蔽密钥分发的编码和解码算法,利用合法发送方和接收方共享的随机种子对首轮传输的消息块进行初始化,并从当前生成的密钥中提取出随机种子对后续消息块进行随机化,确保密钥分发过程的隐蔽性.最后,通过信息理论证明了CSFP方案的可靠性、随机性、保密性和隐蔽性,利用最大熵原理推导出水声信道环境下隐蔽性约束的可达性条件和隐蔽密钥生成速率.仿真结果表明,与现有方案相比,CSFP方案的隐蔽密钥生成速率平均提高了18.78%,隐蔽概率平均提高了38.29%.此外,CSFP方案生成的密钥成功通过了SP 800-22测试平台的随机性检测.
基金supported by the National Natural Science Foundation of China(Grant Nos.11535014,11975017,and 11675278)the State Key Laboratory of Particle Detection and Electronics(SKLPDE-ZZ-202215).
文摘Background Channel electron multiplier(CEM)can be used to measure extremely few charged particles,such as electrons and ions.The CEM is widely used in particle detection,so it is very important to study their performance parameters.Purposes Test and analyze the performance parameters of the CEM,such as resistance,gain,and pulse output for a single entrance photoelectron.Methods The heated tantalum filament is used as a stable and adjustable planar electron source to test the performance of the CEM in the analog mode.The performance parameters of the CEM in the pulse counting mode are tested by using the ultraviolet LED to excite the gold photocathode to generate a single photoelectron.Results and conclusions The gain of the CEM in the analog mode can reach more than 106 and the gain in the pulse counting mode can be two orders of magnitude higher.The curved helical channel has a greater advantage than the ordinary straight channel,which is conducive to weakening the ion feedback phenomenon.
