Active interference suppression in CDMA overlay systems

Poor, H. Vincent

doi:10.1109/49.909605

Cited by 60 publications

(33 citation statements)

References 142 publications

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“…Jamming against tactical spread-spectrum communications is another instance of narrowband interference that may exceed the natural resistance of a practical spread-spectrum system, which has a limited processing gain. There are a wide variety of techniques that supplement the inherent ability of a direct-sequence system to reject narrowband interference [24], [25]. All of the techniques directly or indirectly exploit the spectral disparity between the narrowband interference and the wideband direct-sequence signal.…”

Section: Rejection Of Narrowband Interferencementioning

confidence: 99%

“…Equation (8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26) is derived by using the definition of M k+1 given by (8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23) and then substituting (8-18), (8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22), and (8-21). Equation …”

Section: Nonlinear Filteringmentioning

confidence: 99%

“…The update equations of the ACM filter are given by (8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24) to (8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27) and to . The difference between the ACM filter and the Kalman-Bucy filter is the presence of the nonlinear tanh and sech functions in and .…”

Section: Nonlinear Filteringmentioning

confidence: 99%

“…It is assumed that there are two independent correct cells with the common detection probability P d = P a = P b . If q >> 1, (7-32) and (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26) yield the NMAT:…”

Section: Examplementioning

confidence: 99%

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Direct-Sequence Communication Systems

Torrieri¹

2004

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Approved for public release; distribution unlimited. ii REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY) March 2004 REPORT TYPE ARL-TR-3175 SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)U.S. Army Research Laboratory 2800 Powder Mill Road Adelphi, MD 20783-1197 SPONSOR/MONITOR'S REPORT NUMBER(S) DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution unlimited. SUPPLEMENTARY NOTES ABSTRACTThis report presents a comprehensive review of the state of the art of direct-sequence communication systems. Although it is largely self-contained mathematically, the report presumes a thorough understanding of modern digital communications. To limit the report to approximately 200 pages, only the most vital aspects of the theory are emphasized, but the cited references provide many details and minor topics. SUBJECT TERMS PrefaceThis report presents a comprehensive review of the state of the art of direct-sequence communication systems. Although it is largely self-contained mathematically, the report presumes a thorough understanding of modern digital communications. To limit the report to approximately 200 pages, only the most vital aspects of the theory are emphasized, but the cited references provide many details and minor topics. Sections 1 and 2 cover the basic definitions and concepts and the fundamental properties of spreading sequences. Sections 3 and 4 derive the symbol error probabilities of coherent systems in the presence of tone or Gaussian interference. Methods of suppressing pulsed interference are analyzed in Section 5. In Section 6, the role of matched filters in direct-sequence systems is examined. Code synchronization, which is the most significant issue in the design of direct-sequence systems, is analyzed in Section 7. Several supplementary methods of rejecting narrowband interference are presented in Section 8. The detection of the existence of a direct-sequence signal by both an ideal receiver and the more practical wideband radiometer are analyzed in Section 9. Section 10 explains and develops the theory of direct-sequence code-division multi...

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Section: Rejection Of Narrowband Interferencementioning

confidence: 99%

Section: Nonlinear Filteringmentioning

confidence: 99%

Section: Nonlinear Filteringmentioning

confidence: 99%

Section: Examplementioning

confidence: 99%

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Direct-Sequence Communication Systems

Torrieri¹

2004

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“…1). Some scholars proposed interference rejection to solve the problem [1][2][3][4][5]. But few people mentioned that blind source separation based on weak signals against the strong interference signal.…”

Section: Introductionmentioning

confidence: 99%

Blind Separation of Weak Object Signals Against the Unknown Strong Jamming in Communication Systems

Zhu

Xie

et al. 2017

Wireless Pers Commun

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To obtain the mixed weak object signal against the super power signal (jamming) is still an challenging task in modern communication systems. In this paper, a novel framework is designed for weak object signal blind separation against the strong interference signal. To extract the strong interference signal,firstly, we separate the mixed signals with the optimized FastICA algorithm, then, an improved Interference Cancellation algorithm is proposed as reference signal based on the separated strong signal. Next, we separate the weak mixed signals by the improved FastICA algorithm again. Finally, we discuss the performance of the proposed method and verify the novel method based on several simulations. The experimental results demonstrate the effectiveness and robustness of the proposed method.

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Magnetic Storage Systems

Thapar

2003

Wiley Encyclopedia of Telecommunications

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Many similarities exist between digital storage and baseband data transmission. Instead of delivering data “from here to there”, the digital storage channel delivers data “from now to then”. This chapter provides an overview of digital magnetic storage, including the recording process underlying the generation of signal, noise, distortion, and interference, the unique characteristics and constraints of the magnetic recording channel, and the signal processing and coding methods which are deployed ubiquitously in today's magnetic disk drives.

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Active interference suppression in CDMA overlay systems

Cited by 60 publications

References 142 publications

Direct-Sequence Communication Systems

Direct-Sequence Communication Systems

Blind Separation of Weak Object Signals Against the Unknown Strong Jamming in Communication Systems

Magnetic Storage Systems

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