• Title/Summary/Keyword: ML(maximum likelihood)

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Maximum Likelihood and Signal-Selective TDOA Estimation for Noncircular Signals

  • Wen, Fei;Wan, Qun
    • Journal of Communications and Networks
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    • v.15 no.3
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    • pp.245-251
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    • 2013
  • This paper addresses the issue of time-difference-of-arrival (TDOA) estimation for complex noncircular signals. First, under the wide-sense stationary assumption, we derive the maximum likelihood (ML) estimator and the Cramer-Rao lower bound for Gaussian noncircular signals in Gaussian circular noise. The ML estimator uses the second-order statistics information of a noncircular signal more comprehensively when compared with the cross-correlation (CC) and the conjugate CC estimators. Further, we present a scheme to modify the traditional signal-selective TDOA methods for noncircular signals on the basis of the cyclostationarity of man-made signals. This scheme simultaneously exploits the information contained in both the cyclic cross-correlation (CCC) and the conjugate CCC of a noncircular signal.

Low-Complexity Maximum-Likelihood Decoder for V-BLAST Architecture

  • Le, Minh-Tuan;Pham, Van-Su;Mai, Linh;Yoon, Gi-Wan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.126-130
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    • 2005
  • In this paper, a low-complexity maximum-likelihood (ML) decoder based on QR decomposition, called real-valued LCMLDec decoder or RVLCMLDec for short, is proposed for the Vertical Bell Labs Layered Space-Time (V-BLAST) architecture, a promising candidate for providing high data rates in future fixed wireless communication systems [1]. Computer simulations, in comparison with other detection techniques, show that the proposed decoder is capable of providingthe V-BLAST schemes with ML performance at low detection complexity.

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Simplified Maximum-Likelihood Decoder for V-BLAST Architecture

  • Le Minh-Tuan;Pham Van-Su;Mai Linh;Yoon Giwan
    • Journal of information and communication convergence engineering
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    • v.3 no.2
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    • pp.76-79
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    • 2005
  • In this paper, a low-complexity maximum-likelihood (ML) decoder based on QR decomposition, called real-valued LCMLDec decoder or RVLCMLDec for short, is proposed for the Vertical Bell Labs Layered Space-Time (V-BLAST) architecture, a promising candidate for providing high data rates in future fixed wireless communication systems [1]. Computer simulations, in comparison with other detection techniques, show that the proposed decoder is capable of providing the V­BLAST schemes with ML performance at low detection complexity

Pilot-Aided Iterative Frequency Offset Estimation for Digital Video Broadcasting Systems (디지털 비디오 방송 시스템에서의 파일럿을 이용한 반복적 주파수 옵셋 추정방법)

  • Lee, Kyung-Taek;Seo, Jong-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.5A
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    • pp.484-489
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    • 2007
  • The main disadvantage of orthogonal frequency division multiplexing (OFDM) systems is its sensitivity to carrier frequency offset and timing offset. This paper proposes a simple way of improving the performance of the integer frequency offset (IFO) estimator in OFDM-based digital video broadcasting (DVB) system. By modifying the conventional maximum likelihood (ML) estimator to have multi-stage estimation strategy, IFO estimator is derived. Simulations indicate that the proposed IFO estimator works robustly with reduced computational burden when compared to ML estimator.

STBC-OFDM Decoding Method for Fast-Fading Channels

  • Lee, Kyu-In;Kim, Jae-Kwon;Cho, Yong-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.2C
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    • pp.160-165
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    • 2007
  • In this paper, we propose a novel signal detection method that achieves the maximum likelihood (ML) performance but requires much less computational complexity than the ML detection. When the well-known linear decoding method is used for space-time block coded (STBC) OFDM systems in fast-fading channels, co-channel interference (CCI) as well as inter-carrier interference (ICI) occurs. A maximum likelihood (ML) method can be employed to deal with the CCI; however, its computational complexity is very high. In this paper, we propose a signal detection method for orthogonal space-time coded OFDM systems that achieves the similar error performance as the ML method, but requires much less computational complexity.

Optimal Parameter Estimation of the ML Test Based Audio Watermark Decoder (ML 시험 기반 오디오 워터마크 디코더의 최적 변수추정)

  • Lee, Jin-Geol
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.2
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    • pp.56-60
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    • 2006
  • Based on the fact that audio signals in the time domain have the generalized Gaussian distribution. an optimal parameter estimation of the ML (maximum likelihood) test based audio watermark decoder. which leads to the minimal bit error rate, is Proposed. Its superiority of performance over the existing estimation and the conventional correlation based decoder is demonstrated experimentally.

Performance analysis of maximum likelihood detection for the spatial multiplexing system with multiple antennas (다중 안테나를 갖는 공간 다중화 시스템을 위한 maximum likelihood 검출기의 성능 분석)

  • Shin Myeongcheol;Song Young Seog;Kwon Dong-Seung;Seo Jeongtae;Lee Chungyong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.12
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    • pp.103-110
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    • 2005
  • The performance of maximum likelihood(ML) detection for the given channel is analyzed in spatially multiplexed MIMO system. In order to obtain the vector symbol error rate, we define error vectors which represent the geometrical relation between lattice points. The properties of error vectors are analyzed to show that all lattice points in infinite lattice almost surely have four nearest neighbors after random channel transformation. Using this information and minimum distance obtained by the modified sphere decoding algorithm, we formulate the analytical performance of vector symbol error over the given channel. To verify the result, we simulate ML performance over various random channel which are classified into three categories: unitary channel, dense channel, and sparse channel. From the simulation results, it is verified that the derived analytical result gives a good approximation about the performance of ML detector over the all random MIMO channels.

An Improved Integer Frequency Offset Estimation in OFDM Systems Using Maximum Likelihood Function (OFDM시스템에서 최대 우도 함수를 이용한 개선된 정수 부분 주파수 오프셋 추정)

  • Nam, Do-Won;Yoon, Dongweon;Park, Sang-Kyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.2A
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    • pp.103-109
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    • 2006
  • OFDM system has a disadvantage of sensitiveness about the effect of the frequency offset caused by the discord of oscillators in transmitter and receiver. The frequency offset can be divided into integral part and decimal part. Although the frequency offset of integral part do not effect orthogonality between subcarriers, it makes the bit error probability become to 0.5 because of circular transient among transmitted data symbols. This paper proposes a new estimation scheme of the frequency offset of integral part by Maximum Likelihood (ML) demanding only one training symbol in multipath fading channel environment. This proposed scheme not only can reduce the number of training symbol but do not increase the complexity and it shows the better performance by simulation.

Comparison of Multi-Static Sonar Target Positioning Performance (다중상태 소나망 위치 추정 성능 비교)

  • Park, Chee-Hyun;Ko, Han-Seok
    • The Journal of the Acoustical Society of Korea
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    • v.26 no.4
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    • pp.166-172
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    • 2007
  • In this paper, we address the target positioning performance of Multi-Static sonar with respect to target positioning method and measurement error. Based on the analysis on two candidate solution approaches, namely, Least Square (LS) using range and angular information simultaneously and Maximum Likelihood (ML) using only range information as the existing information fusion methods for possible application to Multi-Static sonar, we propose to employ ML using range and angular information. Assuming that each sensor can receive range and angular information, we conduct representative comparison experiments over the existing and proposed methods under various measurement noise scenarios. We also investigate the target positioning performance according to number of sensors, distance between transmitter and receiver. According to the experimental results, RMSE of the proposed ML with distance and direction information is found to be more superior to ML using distance alone and to LS in case distance between transmitter and receiver is longer and number of receiver is smaller.

Multi-Antenna Noncoherent ML Synchronization for UWB-IR Faded Channels

  • Baccarelli Enzo;Biagi Mauro;Pelizzoni Cristian;Cordeschi Nicola
    • Journal of Communications and Networks
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    • v.8 no.2
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    • pp.194-204
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    • 2006
  • This contribution focuses on the maximum likelihood (ML) noncoherent synchronization of multi-antenna transceivers working in faded environments and employing ultra-wideband impulse radio (UWB-IR) transmit technology. In particular, the Cramer-Rao bound (CRB) is derived for the general case of multiple input multiple output (MIMO) UWB-IR systems and used to compare the ultimate performance of three basic transmit schemes, thereinafter referred to as single input multiple output (SIMO), MIMO equal signaling (MIMO-ES), and MIMO orthogonal signaling (MIMO-OS) ones. Thus, the noncoherent ML synchronizer is developed for the better performing transmit scheme (i.e., the SIMO one) and its performance is evaluated under both signal acquisition and tracking operating conditions. The performance gain in the synchronization of UWB- IR signals arising by the utilization of the multi-antenna technology is also evaluated.