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[Communication-Mobile] DesignofSecondOrderAdaptiveEqualizers DL : 0: The design of equalizer for communication channels with unknown and time variable channel coefficients.
Date : 2025-12-29 Size : 309kb User : suji
[Communication-Mobile] pll DL : 0: 一个实现任意倍频的，输入参考频率未知的pll，已综合实现-frequency multiple rely on dpll，unknown reference input clock
Date : 2025-12-29 Size : 4kb User : 刘彻
[Communication-Mobile] DSSS_enhanced_with_a_coarse_time_synchronization_ DL : 0: The .m file simulates a Spread-Spectrum Modulation Trx/Rcx system, in which, the phase of the pseudo-random sequence generated in the transmitter and used to encode the data stream is unknown a priory at the receiver.A parallel search strategy is employed to locally determine it in the place. It works as here: selecting the maximam-energy low-pass filtered signal of the set of all hypothesied despreaded ones using different hypothesized phases for the PN-sequence.The simulation can be growed in several ways including considering various types of noise and jammings or also designing better filters.
Date : 2025-12-29 Size : 3kb User : Rafal
[Communication-Mobile] da2 DL : 0: FIR_A=[1 1 2] FIR_B=[2 1 1] function [w_out mse_out ref_out] = LMS(FIR_A,FIR_B,1,wave=square) [w mse ref res iter] = LMS(FIR_A,FIR_B,L,wave) LMS filter to solve the system identification problem represented below: ---------- ---------- ------- FILTER A -----out_A----- FILTER X ---out-- | ---------- ---------- | in | | ----| |+ | ---------- - ----- ------- FILTER B -----out_B-------------------- SUM ---error--- ---------- ----- FILTER_X is unknown and to be derived. This problem is called "filter matching" and is encountered when one needs to augment a certain filter (A) in order to match the behavior of a reference filter (B).-FIR_A=[1 1 2] FIR_B=[2 1 1] function [w_out mse_out ref_out] = LMS(FIR_A,FIR_B,1,wave=square) [w mse ref res iter] = LMS(FIR_A,FIR_B,L,wave) LMS filter to solve the system identification problem represented below: ---------- ---------- ------- FILTER A -----out_A----- FILTER X ---out-- | ---------- ---------- | in | | ----| |+ | ---------- - ----- ------- FILTER B -----out_B-------------------- SUM ---error--- ---------- ----- FILTER_X is unknown and to be derived. This problem is called "filter matching" and is encountered when one needs to augment a certain filter (A) in order to match the behavior of a reference filter (B).
Date : 2025-12-29 Size : 2kb User : dasu
[Communication-Mobile] ABlindEstimationAlgorithmforPNSequenceinDSSSSignal DL : 0: 这是一篇很好的有关信道估计的文章，可以用来快速的了解信道估计的基本内容-In this paper, a method for fast blind estimation of DS-SS signal is proposed which aims at the Direct-Sequence Spread- Spectrum (DS-SS) signals with parameters unknown. Considering the characteristic that Pseudo-Random noise (PN) sequence modulates the information symbol, we make use of the method based on the second-order cyclic-cumulant to estimate the period of PN sequence, and then the method of segmented cross-correlation to estimate the synchronous start bit between the information symbols and the PN codes. On base of this, a method of multiple subsection cross-correlation average is used to estimate the PN sequence. Computer simulations show that the method can work well on signals at low signal noise ratio (SNR).
Date : 2025-12-29 Size : 101kb User : renkill
[Communication-Mobile] Study-on-Performance-of-Coded-OFDM-CDM-under-Unkn DL : 0: Study on Performance of Coded OFDM-CDM under Unknown Interference
Date : 2025-12-29 Size : 197kb User : mohammed
[Communication-Mobile] 33 DL : 0: 在多径分量数确定的前提下,MIMO-OFDM系统采用传统的基于导频辅助和盲信道估计算法能获得较好性能。实际无线环境中,多径分量数目与幅度都是时变的,则传统信道估计方法不再适用。该文采用随机集理论建模MIMO-OFDM系统信道多径分量数的变化和MIMO信道。基于此模型提出了集中粒子空间重采样方法(CRS),在保留大概率粒子抽样样本的同时主动抛弃小概率抽样样本,以获得更为准确的真实样本逼近。并提出了基于集中重采样Rao-Blackwellised粒子滤波的信道估计方法(RBPFC)。仿真结果表明:所提出的RBPFC方法信道估计性能最好,基本Rao-Blackwellised粒子滤波方法次之但优于基本粒子滤波算法,卡尔曼滤波的信道估计方法性能最差。-The typical pilot-aided and blind estimation method for MIMO-OFDM channel can achieve good performance when the number of multi-path components is constant.However,in the practical wireless environment,the number of channel taps and amplitude are all unknown and time-varying in whole process,thus typical estimation methods are not suitable.In this paper,the channel-taps varying condition and a new channel model are established by using RST theory.Based on this model,the re-sample method by Concentrating pa...
Date : 2025-12-29 Size : 596kb User : 王睿
[Communication-Mobile] MIMO-Channel-Capacity DL : 0: 随着传输速率越来越高,信号所占用的带宽越来越宽,实际信道呈现出频率选择性衰落特性。根据频率选择性衰落信道特性,建立了频率选择性衰落M IMO信道模型,采用频域和时域的方法研究了在频率选择性衰落下,发射端已知和未知信道状态信息的M IMO信道容量,并给出了相关的仿真结果。研究结果表明:在相同发射功率和传输带宽下,M IMO系统可以不牺牲信号带宽而显著提高信道的容量,并且天线数量和输入信噪比的大小对信道容量具有不同的影响。研究结果为如何提高频率选择性衰落环境下M IMO信道容量提供了依据。-With the higher and higher of transmitting rate, the signal bandwidth iswider and wider, and the p ractical channel p resents the frequency selective fading character. In this paper, a multi- input multi- output (M IMO) channelmodel under frequency selective fading is constructed according to the character of frequency selective fading channel. The frequency and time domain methods are used to discussM IMO channel capacity due to the known and unknown channel state information under the frequency selective fa2 ding. The simulation results show thatM IMO system can imp rove the channel capacity remarkably but no exchanging signal bandwidth under the circumstances of the same launching power and transmitting band2 width, and the numbers of antennas and the quantity of SNR have the different effect on the channel capaci2 ty. The conclusion offers the basis of how to imp rove M IMO channel capacity under the circumstances of frequency selective fading.
Date : 2025-12-29 Size : 501kb User : 蜡笔
[Communication-Mobile] Proteus-NokiaProject DL : 0: If you are afraid of soldering Nokia LCD with your hands and still want to check your code.. here is a solution for you.. One of our Russian friend has made this sweet Nokia 3310 LCD model which simulate the original Nokia LCD. This Proteus model has been tested with the following versions of Proteus VSM Co-simulator Proteus v6.9 SP5 Proteus v7.2 SP2 Proteus v7.4 SP3 Proteus v7.5 SP3 Proteus V7.6 (service pack unknown) - will update soon
Date : 2025-12-29 Size : 398kb User : rajesh vana
[Communication-Mobile] feixiangganjilei DL : 0: 针对宽带高分辨雷达体制下的未知速度运动目标检测问题, 基于高分辨一维距离像提出一种新的非相干积累算法. 首先利用改进的双向维特比算法估计目标速度及强散射点位置, 提高了低信噪比下的估计精度, 然后在强散射点周围选取待检测单元进行非相干积累, 进一步提升了检测性能. 两类飞机实测数据的多个实验结果表明, 当目标发生距离走动的情况下, 该算法性能相对传统的非相干积累算法有明显的提高.-For unknown broadband speed moving target detection problem under high resolution radar system, based on high resolution range profile propose a new non-coherent integration algorithm. Firstly, improved bidirectional Viterbi algorithm to estimate the target speed and strong scattering point, raise the estimation accuracy of multiple experiments under low SNR, then select points around the strong scattering detection unit to be non-coherent integration, to further enhance the detection performance. measured data show two types of aircraft, when the target occurrence walking distance Next, the algorithm performance compared to traditional non-coherent integration algorithm has been significantly improve
Date : 2025-12-29 Size : 425kb User : 江虹旭
[Communication-Mobile] AGC1 DL : 0: AGC算法的C程序代码，有效地自动的解决信号未知衰减的问题，使系统的性能得到很大的提升。-AGC algorithm C code, effectively automatically resolve the problem of signal attenuation is unknown, the performance of the system has been greatly improved.
Date : 2025-12-29 Size : 5kb User : gst
[Communication-Mobile] MIMO_ICA DL : 0: 基于独立成分分析（ICA）的盲源分离，对MIMO进行信号检测。在信道条件未知的情况下将两路信号分离(Blind source separation based on independent component analysis (ICA) is used to detect MIMO signals. Two channel signals are separated in the case of unknown channel conditions)
Date : 2025-12-29 Size : 1kb User : esmee_wan
[Communication-Mobile] code-20180224T072022Z-001 DL : 0: Multiple antenna (MIMO) devices are widely used to increase reliability and information bit rate. Optimal error rate performance (full diversity and large coding gain), for unknown channel state information at the transmitter and for maximal rate, can be achieved by approximately universal space-time codes
Date : 2025-12-29 Size : 2.96mb User : KANTH