智能天线中导频符号辅助的载波频偏估计

首先定量分析了智能天线的阵元和导频符号数目增减对频偏估计性能的影响;然后借助于自适应阵加权结构,提出了一种存在共信道干扰(CCI)时,导频辅助估计频偏的新算法,该方法的自适应权只是中间变量,所以并不需要系统真正采用自适应结构,也不需要已知天线阵列流形.计算机仿真表明,该算法可以充分地利用多阵元和导频符号,有效抑制了CCI,使频偏估计性能接近于克莱美-罗界.     

基于波束空间CSI估计的OFDM自适应天线

现有pre-FFT OFDM自适应天线系统中信道状态信息(CSI)估计在阵元空间进行,其性能易受干扰的影响而恶化,本文提出一种基于波束空间CSI估计的pre-FFT自适应天线阵方案,可显著提高CSI估计的精度和稳健性,仿真结果表明该方案较传统的阵元空间天线阵有明显的性能提升,特别在强干扰条件下,阵元空间阵列可能无法工作,而本文方案仍然具有良好的性能.     

引入直接序列扩频的线列阵通信信道均衡技术

在空间多径信道垂直线列阵通信中,由于多阵元码间干扰导致信道失衡,误码率较高,需要进行信道均衡设计。传统方法采用随机码扩频方法进行通信信道均衡,扩频信号经高放和混频后导致非线性失真,均衡效果不佳。文中提出一种基于直接序列扩频的线列阵通信信道均衡算法。基于PTRM技术构建了垂直线列阵通信的空间多径信道模型,采用直接序列扩频方法设计码间干扰抑制算法,利用垂直线列阵结构对PTRM时间压缩性能,接收到的扩频信号经高放和混频后,对中频扩频的调制信号进行相关解扩,重组多垂直线列阵的径分量,实现信道均衡。仿真结果表明,采用该算法进行垂直线列阵通信,信道均衡性能和码间干扰抑制性能较好,并有效降低了误比特率,改善了通信质量。     

利用联合互质阵列的卫星导航抗干扰算法

随着电磁环境越来越复杂,全球卫星导航系统(GNSS)受到的干扰越来越多。基于均匀间距阵列的抗干扰算法已广泛运用于GNSS干扰抑制中,但是均匀线性阵列抑制干扰的性能受到天线阵元个数和阵列孔径的严格限制。本文提出了一种基于联合互质阵列的卫星导航抗干扰算法,能够在不增加阵元的情况下获得较大的阵列孔径,提高了干扰来向估计性能且不需要知道干扰个数。该方法首先利用互质阵列的空间谱估计方法估计出干扰来向,然后,利用估计出的干扰来向构造干扰子空间,并通过正交子空间投影算法抑制干扰。算法提高了卫星导航系统的抗干扰性能,仿真实验验证了该算法的有效性。      

一种星载数模混合阵列结构及波束形成算法

6G星地融合网络对卫星通信系统提出了高速率低时延低能耗的要求,由于星地链路信道环境复杂多变且容易受到干扰,需要研究干扰场景下的低成本可实现阵列架构及算法。针对这一问题,设计了一种数模混合阵列结构,子阵采用50%稀疏馈电以及最小二乘波束形成算法,超阵采用最小二乘与线性约束最小方差波束形成算法,并理论分析了阵列结构的可行性,证明子阵的零点能够抑制超阵的栅瓣。仿真结果表明,该结构以更低的复杂度实现了大规模阵列的效果,波束方向图指向明确且零陷深度足够,对干扰的抑制明显,获得了接近理想阵列增益的BER性能。     

移动通信中的CMA阵列抗干扰性能分析

移动通信中的CMA阵列具有抗多径干扰和抗共信道干扰能力。本文理论分析了实际信号环境下CMA阵列的抗多径干扰和抗共道干扰能力，并进行了计算机仿真，仿真结果表明，CMA阵列的抗多径干扰性能受随机相移、信号幅度、信号空间分布等因素的影响，当所需信号与多径干扰信号空间卫离度越大，CMA阵列的抗多径干扰性能越好。CMA阵列的抗共信道干扰性能较抗多径干扰性能要好，只要所需用户信号和共信道干扰信号不在同一入射方向，CMA阵列就可以将干扰信号抑制掉。     

利用GA实现非对称稀疏线阵旁瓣电平的优化

该文讨论运用遗传算法综合非对称的稀疏直线阵列(阵元从规则栅格中稀疏)。阵元在中心两侧非对称分布的布阵方式提供了可利用的优化自由度,将更有利于提高稀疏阵列的性能。构造了阵元关于阵中心非对称时优化旁瓣电平的适应度函数,仿真结果表明,无对称约束的阵元排列,不仅可以进一步抑制稀疏线阵的相对旁瓣电平(RSLL),而且当阵列由有向阵元组成时,有益于改善阵列波束扫描过程中RSLL的恶化。     

基于时空处理的阵列扩展及同频干扰抑制

该文推导了基于时空联合处理的 2-D 阵列扩展方法,研究了虚拟阵的结构,构造了虚拟阵的伪数据矩阵;同时提出了抑制同频干扰的算法。当采用m阵元的2-D阵列时,扩展阵列的等效阵列孔径为n=(m+1)2/2-1(m为奇数)或n=m(m+2)/2-1(m为偶数)。这种阵列扩展方法和同频干扰抑制算法能在较低信噪比(0dB)以下工作,并且能实现2-D参数的自动配对。理论和计算机仿真实验均表明这种扩展和算法的有效性。     

基于子带滤波器组的宽带自适应天线旁瓣相消技术

文[6]提出在数字移动通信中子带滤波器组处理可以提高不同阵元信号的相关性,从而能改善自适应阵列抑制码间干扰(ISI)和共信道干扰(CCI)的能力.在文[6]的基础上,本文研究了子带滤波器组在宽带自适应天线旁瓣相消中的应用,对其原理进行了理论分析,提出了有效的子带处理方法.经研究表明,子带滤波器组处理能有效增加主、辅助天线信号的相关性,从而提高系统干扰相消比.而且适当的过采样能使系统干扰相消比进一步提高.计算机仿真结果和实测雷达数据处理结果证实了子带处理方法的有效性和理论分析的正确性.     

FDA-MIMO雷达主瓣欺骗干扰对抗方法

频率分集阵列多输入多输出(FDA-MIMO)雷达发射阵列中各阵元的载频相对于起始阵元存在频率偏移。基于频率分集阵列联合波束图存在的角度距离二维相关性,结合空间自适应波束形成技术可用来抑制主瓣欺骗干扰。针对FDA-MIMO 雷达波束形成抑制主瓣欺骗干扰时存在的距离周期性问题,提出了一种采用对数频率偏移来消除距离周期性的方法。该方法用对数频率偏移代替常用的线性频率偏移,克服了FDA-MIMO 雷达联合波束图的距离周期性,取得了更好的抗干扰效果。仿真结果验证了该方法的有效性。     

Blind Multiuser Detection with Array Observations

Cochannel interference is usually a major limitation to the performance of mobile wireless systems. Examples of different forms of cochannel interference include multi-access interference in CDMA systems and cochannel interference resulting from frequency reuse in TDMA systems. In order to mitigate the interference from other users we present a blind multiuser receiver which utilizes array observations and performs both spatial and temporal processing of the received signal. The presented technique is completely blind in the sense that no signature sequences, channel state or spatial location needs to be known a priori, nor use of a training sequences, channel state or spatial location needs to be known a priori, nor use of a training sequence is required for the adaptation. The diversity introduced by the array observations can be efficiently combined with the use of CDMA signature sequences. After initial convergence, a reliable estimate of the combined temporal and spatial signature for each user is provided that can be employed by a multiuser receiver of lower complexity.     

A novel hybrid of adaptive array and equalizer for mobilecommunications

The combination of the adaptive array and equalizer (AE) has been developed for suppressing the cochannel interference and the intersymbol interference (ISI) in mobile communications. In this paper, a novel hybrid of the adaptive array and equalizer (NHAE) system is proposed to combat the problems of insufficient degrees of freedom and mainbeam multipath interferers. The NHAE utilizes a modified training sequence to adjust the weight vector of the array that leads the array to cancel only the cochannel interferers. The ISI which is caused by the multipath interferers and the transmission system is removed by the equalizer following the array. Therefore, the array in the NHAE may need a fewer number of the elements than the conventional array which cancels both the cochannel interferers and multipath interferers. Besides, the presence of the mainbeam multipath interferers, which may seriously degrade the performance of the AE, has much less effect on the NHAE since it is suppressed by the equalizer instead of by the array. Simulation results are presented to demonstrate the merits of the NHAE     

Cochannel interference computation and asymptotic performanceanalysis in TDMA/FDMA systems with interference adaptive dynamic channelallocation

It has been shown through simulation results that the interference adaptive dynamic channel allocation (IA-DCA) scheme is a promising resource allocation strategy in time/frequency-division multiple-access (TDMA/FDMA) communication systems. The major obstacle in analyzing IA-DCA is the computation of cochannel interference without the constraint of conventional channel reuse factors. To overcome this difficulty, one needs a computationally efficient representation which can approximate the interference distribution accurately. For this purpose, a concept called channel reuse zone (CRZ) is introduced. Based on this new concept, both downlink and uplink cochannel interference are computed with two different propagation models, namely, a simplified deterministic model and a shadowing model. The results are then used to calculate the outage probability of the idealized, interference adaptive maximum parking (IAMP) scheme. Finally, as a significant contribution, an asymptotic performance bound for the two-way IA-DCA strategy is derived     

一种基于恒模算法的多用户盲波束形成新方法

提出了一种适用于多用户的盲波束形成新方法.该方法基于最小二乘恒模算法,当最小二乘恒模算法收敛于某一信号后,我们导出了算法的权向量与其它用户波达方向的关系,进而在不同用户的波达方向上形成初始增益,从而实现对所有用户的波束形成.文中给出了算法的并行和串行实现方案.     

Realization of space-time adaptive filtering by employing electronically steerable passive array radiator antennas

Electronically steerable passive array radiator (ESPAR) antennas are considered to have the capability to form a beam spatially toward the desired signal with the lowest cost. We propose a method to realize space-time adaptive filtering (STAF) by employing ESPAR antennas for TDMA or CDMA signal waveforms. According to the method, the cochannel interference signals are spatially suppressed by the adaptive beamforming, and the intersymbol interference signals are suppressed by the temporal waveform-based adaptive equalization. Simulation results show the effectiveness of the proposed method in the signal environment of a local network communication system.     

Interference cancellation with an array processing MLSE receiver

the capacity and transmission quality in cellular systems can be improved by using receivers that mitigate cochannel interference and multipath propagation. In this paper, a class of multichannel maximum likelihood sequence estimation (MLSE) receivers is developed for this purpose. Interference mitigation is accomplished via adaptive antenna arrays, while multipath propagation is combated via MLSE. Practical considerations are included, such as fixed front-end filtering, sampling, and estimation of parameters from received samples. Maximal ratio combining, conventional array processing and metric combining (MC) are shown to be special cases of the proposed receivers. Performance is evaluated for π/4-shift DQPSK, using the parameters and transmission format of the time-division multiple-access (TDMA)-based IS-136 (D-AMPS) digital cellular standard. Semi-analytical performance predictions are developed which confirm simulation trends. The results show that these receivers can operate at significantly lower carrier-to-interferer (C/I) levels than conventional MC receivers     

Large finite array analysis using infinite array data

The prediction of edge element behavior is a common problem during the design of large array antennas. The performance of the center elements can be approximated by an infinite array model, but the edge element patterns and active reflection coefficients cannot. The full element-by-element analysis of a large finite array is either excessively time consuming or impossible due to the computer power required. A study has recently been carried out to develop and test methods of fully predicting large array performance using infinite array data. The methods devised are presented, together with comparisons of predicted performance and measured data from a 163-element WG-16 array     

Combinations of an adaptive array antenna and a canceller ofinterference for direct-sequence spread-spectrum multiple-access system

In the realization of code-division multiple access based on a spread-spectrum communication system, i.e. spread-spectrum multiple access (SSMA), reduction of cochannel interference is an important problem. An adaptive array antenna system is proposed that includes a cancellor of cochannel interference, which can improve performance by a combination of temporal and spatial filtering. While the adaptive array suppresses interference sources with arrival angles different from those of the desired user, the adaptive digital filter-canceller rejects those whose arrival angles are the same as those of the desired user. The proposed system can achieve stable acquisition and low error rate of demodulated data even in a heavy-interference channel where a conventional array antenna system cannot achieve satisfactory acquisition     

基于DSP+DUC的短波阵列信号发生器

为了在实验室中获得短波天线阵列信号,应用DSP芯片和DUC芯片(数字上变频器)设计了一个实用电路短波阵列信号发生器,模拟实现了短波九元天线阵的多种阵型、不同来波方向及存在同频多信号时的阵列输出信号。     

The constant modulus array for cochannel signal copy and directionfinding

The constant modulus (CM) array is a blind adaptive beamformer capable of recovering a narrowband signal among several cochannel sources without using a pilot or training signal. It is a conventional weight-and-sum adaptive beamformer whose weights are updated by the constant modulus algorithm. An adaptive signal canceller follows the beamformer to remove the captured signal from the array input and to provide an estimate of its direction vector. Based on a Wiener model, we investigate the steady-state properties of the CM array and the signal canceller. For mutually uncorrelated sources and noise, it is shown that the signal canceller exactly removes the source captured by the array. Thus, identical stages of the CM array and signal canceller may be used in a multistage system to recover several cochannel sources. Computer simulations are presented to verify the analytical results and to illustrate the transient behavior of the system