Signal design and processing for noise radar

被引:17
|
作者
Galati, Gaspare [1 ,2 ]
Pavan, Gabriele [1 ,2 ]
Wasserzier, Christoph [3 ]
机构
[1] Univ Roma Tor Vergata, Via Politecn 1, I-00133 Rome, Italy
[2] CNIT Natl Interuniv Consortium Telecommun, Via Politecn 1, I-00133 Rome, Italy
[3] Fraunhofer Inst High Frequency Phys & Radar Techn, D-53343 Wachtberg, Germany
关键词
Radar signal processing; Waveform design; Noise radar technology; Ambiguity function; Low probability of intercept; Low probability of exploitation; Electronic support measures; WAVE-FORM; PULSE-COMPRESSION; RANDOM FREQUENCY; LOW PROBABILITY; RANGE; SUPPRESSION; LOCALIZE; DETECT; PHASE;
D O I
10.1186/s13634-022-00884-1
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An efficient and secure use of the electromagnetic spectrum by different telecommunications and radar systems represents, today, a focal research point, as the coexistence of different radio-frequency sources at the same time and in the same frequency band requires the solution of a non-trivial interference problem. Normally, this is addressed with diversity in frequency, space, time, polarization, or code. In some radar applications, a secure use of the spectrum calls for the design of a set of transmitted waveforms highly resilient to interception and exploitation, i.e., with low probability of intercept/exploitation capability. In this frame, the noise radar technology (NRT) transmits noise-like waveforms and uses correlation processing of radar echoes for their optimal reception. After a review of the NRT as developed in the last decades, the aim of this paper is to show that NRT can represent a valid solution to the aforesaid problems.
引用
收藏
页数:29
相关论文
共 50 条
  • [31] Maximum likelihood methods in radar array signal processing
    Swindlehurst, AL
    Stoica, P
    PROCEEDINGS OF THE IEEE, 1998, 86 (02) : 421 - 441
  • [32] IF echo signal processing technic in pulse compression radar
    Liu Lin
    Liu Guosheng
    Zhang Qi
    PROCEEDINGS OF 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS (ICEMI), VOL. 3, 2015, : 1242 - 1245
  • [33] Invariant Polarimetric Parameters for Signal Processing in Weather Radar
    Rudiakova, A. N.
    Sinitsyn, R. B.
    Yanovsky, F. J.
    2015 IEEE INTERNATIONAL CONFERENCE ON MICROWAVES, COMMUNICATIONS, ANTENNAS AND ELECTRONIC SYSTEMS (COMCAS), 2015,
  • [34] The performance of a linear STAP processor for radar signal processing
    Slesicka, Anna
    Kawalec, Adam
    2020 21ST INTERNATIONAL RADAR SYMPOSIUM (IRS 2020), 2020, : 154 - 156
  • [35] Guaranteed Deep Learning for Reliable Radar Signal Processing
    Khobahi, Shahin
    Mostajeran, Ali
    Emadi, Mohammad
    Wang, Pu
    Soltanalian, Mojtaba
    2022 IEEE 12TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2022, : 291 - 295
  • [36] A simple signal processing architecture for instantaneous radar polarimetry
    Howard, Stephen D.
    Calderbank, A. Robert
    Moran, William
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2007, 53 (04) : 1282 - 1289
  • [37] Frequency diverse array radar signal and data processing
    Dong, Yunhan
    IET RADAR SONAR AND NAVIGATION, 2018, 12 (09) : 954 - 963
  • [38] Impacts on Signal Processing Techniques for Ground Penetrating Radar
    Unal, Mehmet
    Caliskan, Alper
    Turk, Ahmet Serdar
    2013 SIGNAL PROCESSING SYMPOSIUM (SPS), 2013,
  • [39] Performance optimization algorithm of radar signal processing system
    Xiang Li
    Jinsong Du
    Cluster Computing, 2017, 20 : 359 - 370
  • [40] DVB-T Passive Radar Signal Processing
    Palmer, James E.
    Harms, H. Andrew
    Searle, Stephen J.
    Davis, Linda M.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (08) : 2116 - 2126