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951.
In this paper trajectory tracking algorithms for gasoline engines are devised. Specifically, precise reference tracking in engine speed and air-to-fuel ratio is enabled while satisfying initial and final conditions on the center of combustion. Such a tracking of multiple reference trajectories requires a coordinated control action for the air path, the fuel path, and the ignition timing actuators. Combining a dedicated feedforward and feedback controller structure and multivariable model-based norm-optimal parallel iterative learning control strategies, feedforward control trajectories are generated that enable a precise tracking of desired reference trajectories. Experimental results focusing on the termination of the catalyst heating mode show the effectiveness of the proposed methodology, resulting in a control error reduction above 85%. 相似文献
952.
针对基于导频污染的大规模多输入多输出系统,提出一种空间交替广义期望最大化(SAGE)迭代的信道估计算法。将发送和接收的导频符号形成完备的数据空间集,利用基于导频的最小均方误差估计器初始化信道参数,通过导频符号和软信息迭代改进并更新初始估计数据。实验结果表明,该算法通过一次SAGE迭代即可实现精度收敛,且在高信噪比及导频污染的情况下相比基于导频的估计器具有更高的估计精度及频谱效率。 相似文献
953.
提出一种MIMO雷达相位编码信号集设计方法,该方法对飞蛾扑火优化算法进行改进,利用改进的飞蛾扑火算法优化相位编码信号集,提高其正交性.在改进方法中,增加对火焰的更新过程,使火焰不仅能够保存最优飞蛾位置还具有搜索最优解的功能.优化过程以自相关函数旁瓣峰值和、互相关函数峰值和,以及自相关函数旁瓣能量、互相关函数能量作为算法适应度函数.仿真实验结果表明,改进方法明显提高了飞蛾扑火优化算法的收敛速度和收敛精度,且优化得到的信号集具有较低的自相关旁瓣值和互相关值. 相似文献
954.
955.
In this paper, we suggest advanced IEEE 802.11ax (WiFi) TCP‐aware scheduling strategies for optimizing the TCP Goodput AP operation under transmission of unidirectional TCP traffic to downloading stations. Our scheduling strategies optimize the TCP Goodput performance using the capability for Multi User transmissions over the Uplink, first introduced in IEEE 802.11ax, together with Multi User transmissions over the Downlink. The scheduling strategies are based on Transmission Opportunities (TXOP), and we suggest three scheduling strategies determining the TXOP formation parameters. In one of the strategies, one can control the achieved TCP Goodput vs the delay. We also assume saturated TCP transmission queues. We show that with minimal TCP Goodput degradation, one can avoid considerable delays: It turns out that for TCP Data segments of 1460 bytes, achieving optimal TCP Goodput requires TXOPs of 25 ms, while if one loses only 5% of the optimal Goodput, TXOPs can be of only 3 ms. For TCP Data segments of 256 bytes, the TXOPs are of 13 and 5 ms, respectively. 相似文献
956.
This paper investigates the use of the inverse‐free sparse Bayesian learning (SBL) approach for peak‐to‐average power ratio (PAPR) reduction in orthogonal frequency‐division multiplexing (OFDM)‐based multiuser massive multiple‐input multiple‐output (MIMO) systems. The Bayesian inference method employs a truncated Gaussian mixture prior for the sought‐after low‐PAPR signal. To learn the prior signal, associated hyperparameters and underlying statistical parameters, we use the variational expectation‐maximization (EM) iterative algorithm. The matrix inversion involved in the expectation step (E‐step) is averted by invoking a relaxed evidence lower bound (relaxed‐ELBO). The resulting inverse‐free SBL algorithm has a much lower complexity than the standard SBL algorithm. Numerical experiments confirm the substantial improvement over existing methods in terms of PAPR reduction for different MIMO configurations. 相似文献
957.
In time division duplex (TDD)‐based multiuser massive multiple input multiple output (MIMO) systems, the uplink channel is estimated and the results are used in downlink for signal detection. Owing to noisy uplink channel estimation, the downlink channel should also be estimated for accurate signal detection. Therefore, recently, a blind method was developed, which assumes the use of a linear high‐power amplifier (HPA) in the base station (BS). In this study, we extend this method to a scenario with a nonlinear HPA in the BS, where the Bussgang decomposition is used for HPA modeling. In the proposed method, the average power of the received signal for each user is a function of channel gain, large‐scale fading, and nonlinear distortion variance. Therefore, the channel gain is estimated, which is required for signal detection. The performance of the proposed method is analyzed theoretically. The simulation results show superior performance of the proposed method compared to that of the other methods in the literature. 相似文献
958.
In this study, an electronically steerable parasitic array radiator (ESPAR) antenna via analog radio frequency (RF) switches for a single RF chain MIMO system is presented. The proposed antenna elements are spaced at λ/64, and the antenna size is miniaturized via a dielectric radome. The optimum reactance load value is calculated via the beamforming load search algorithm. A switch simplifies the design and implementation of the reactance loads and does not require additional complex antenna matching circuits. The measured impedance bandwidth of the proposed ESPAR antenna is 1,500 MHz (1.75 GHz–3.25 GHz). The proposed antenna exhibits a beam pattern that is reconfigurable at 2.48 GHz due to changes in the reactance value, and the measured peak antenna gain is 4.8 dBi. The reception performance is measured by using a 4 4 BPSK signal. The measured average SNR is 17 dB when using the proposed ESPAR antenna as a transmitter, and the average SNR is 16.7 dB when using a four‐conventional monopole antenna. 相似文献
959.
This paper introduces artificial bee algorithm (ABC)‐based energy‐efficient protocol with security for the enhancement of lifetime of wireless sensor network. A trustworthy energy‐efficient routing MIMO (TEEM) technique is used by implementing MIMO technique in TEER protocol to isolate malicious nodes and to reduce the fading effects and interference in the network. The performance of ABC‐based trustworthy energy‐efficient MIMO routing (ABC‐TEEM) protocol is analysed. Alive node performance, residual energy, throughput analysis, and pocket loss rate of ABC‐TEEM protocol for WSN are computed and compared with the performance of existing TEEM protocol for various diversity orders. 相似文献
960.
针对现用于成像的MIMO山体滑坡雷达均匀线性阵列数目过多、数据处理复杂度高的问题,引入稀疏阵列时分地基MIMO雷达模型,提出一种基于逆傅里叶变换和混合匹配追踪算法的成像方法。首先通过对雷达回波信号作逆傅里叶变换实现距离向压缩,并进行近似相位补偿,然后采用一种基于时延补偿因子稀疏基的压缩感知算法实现方位向压缩。同时针对多目标成像的伪影点问题,方位向数据压缩引入子空间追踪算法和正交匹配追踪算法的结合算法重构出高分辨率且没有伪影的二维图像。根据真实的山体滑坡监测成像场景参数,通过数值仿真验证了该方法能够在低于传统均匀阵列的天线数目情况下实现目标高质量成像,且具有一定的抗噪性。 相似文献