Quantization-loss Reduction for 1-bit BOC Positioning

被引:0
|
作者
Wendler, Friederike [1 ]
Stein, Manuel [1 ]
Mezghani, Amine [1 ]
Nossek, Josef A. [1 ]
机构
[1] Tech Univ Munich, Inst Circuit Theory & Signal Proc, D-80290 Munich, Germany
关键词
D O I
暂无
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Accurate time-delay measurement is essential for positioning with Global Navigation Satellite Systems (GNSS). For mobile receivers small cost, moderate complexity and low energy consumption are desirable. In contrast, Safety-of-Life (SoL) applications require fast processing in order to meet strict time constraints. Concerning these technical considerations, single bit analog-to-digital converters (ADC) are highly attractive as they are simple to build, require low energy and allow to realize high sampling rates and fast digital processing. On the other hand, such systems introduce a loss in the estimation accuracy. In this work we derive a mathematical model for 1-bit GNSS receivers, which takes into account the effects of the analog filters and the non-linear quantizer in the receiver front-end. Based on this refinement we derive analytic formulations for the receiver performance by resorting to the estimation theoretic tools which have become popular for the analysis of ideal receivers with infinite resolution. Finally, we verify the 1-bit quantization-loss for time-delay estimation systems, acting in low SNR scenarios, and investigate possible approaches to reduce this degradation by adjusting the analog front-end.
引用
收藏
页码:509 / 518
页数:10
相关论文
共 50 条
  • [31] On the Achievable Rate of Multi-Antenna Receivers with Oversampled 1-Bit Quantization
    Bender, Sandra
    Doerpinghaus, Meik
    Fettweis, Gerhard
    2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP), 2017,
  • [32] Cooperative Low-Power Wideband Sensing Based on 1-bit Quantization
    Ali, Abdelmohsen
    Hamouda, Walaa
    IEEE COMMUNICATIONS LETTERS, 2018, 22 (02) : 368 - 371
  • [33] Joint MMSE Precoder and Equalizer for Massive MIMO using 1-bit Quantization
    Bin Usman, Ovais
    Nossek, Josef A.
    Hofmann, Christian A.
    Knopp, Andreas
    2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [34] Communication with 1-Bit Quantization and Oversampling at the Receiver: Spectral Constrained Waveform Optimization
    Bender, Sandra
    Landau, Lukas
    Doerpinghaus, Meik
    Fettweis, Gerhard
    2016 IEEE 17TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2016,
  • [35] Branch-and-Bound Precoding for Multiuser MIMO Systems With 1-Bit Quantization
    Landau, Lukas T. N.
    de Lamare, Rodrigo C.
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2017, 6 (06) : 770 - 773
  • [36] 1-bit reconfigurable transmitarray with low loss and wide bandwidth
    Gao, Wen Hua
    Chen, Mao
    Cheng, Qiang
    Shao, Rui Wen
    Liang, Jing Cheng
    Gao, Yuan
    Cui, Tie Jun
    NEW JOURNAL OF PHYSICS, 2021, 23 (06):
  • [37] Power Allocation for Distributed Compressive Sensing with 1-Bit Quantization over Noisy Channels
    He, Jiguang
    Leinonen, Markus
    Nguyen, Kien-Giang
    Li, Yong
    Silven, Olli
    Juntti, Markku
    2019 16TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS), 2019, : 587 - 591
  • [38] Achievable Rate with 1-Bit Quantization and Oversampling at the Receiver using Continuous Phase Modulation
    Landau, Lukas T. N.
    Doerpinghaus, Meik
    de Lamare, Rodrigo C.
    Fettweis, Gerhard P.
    2017 IEEE 17TH INTERNATIONAL CONFERENCE ON UBIQUITOUS WIRELESS BROADBAND (ICUWB), 2017,
  • [39] Power- and Spectral Efficient Communication System Design Using 1-Bit Quantization
    Jedda, Hela
    Ayub, Muhammad Mudussir
    Munir, Jawad
    Mezghani, Amine
    Nossek, Josef A.
    2015 12TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS), 2015,
  • [40] Decision Fusion for Clustered WSNs over IoT Infrastructure using 1-bit Quantization
    Al-Jarrah, M. A.
    Yaseen, M. A.
    Al-Dweik, A.
    2019 INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTING TECHNOLOGIES AND APPLICATIONS (ICECTA), 2019,