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Effects of Nonlinear Distortion on Switched Multibeam FDMA .. - Wennström, Öberg, Rydberg (Correct)
....orientations in the horizontal plane, by use of a beam forming network (BFN) Assume further that the taper weighting w n is unity, w n = 1, n = 1, N . Taper weighting can be used to reduce side lobe levels at the expense of increased beam width of the main lobe and loss in antenna gain [27]. Furthermore, a FFT based BFN often implemented as a Butler matrix [28] 29] is assumed. It has the property of a constant phase gradient ##m over the antenna array aperture, yielding # nm = n 1)##m (5) for n = 1, N . The phase gradient, ##m belongs to the set #S of N di#erent phase ....
Merril I. Skolnik, Introduction to Radar Systems, McGraw Hill, Auckland, 1980.
Development of an Ultra-Wideband Radar System - For Vehicle Detection (2002) (Correct)
....weather particulates can scatter energy back towards the radar. If the backscattered return from the particulates is larger than the backscattered return from the desired targets than this return will mask the desired targets. Table 1 lists the expected radar cross section of the desired targets[2] and the weather (or clutter) targets[3] Since the clutter RCSs are normalized to remove the effects of resolution volume and wavelength and expressed in units of dBZ, additional denormalizing calculations were performed to facilitate comparison. For our radar a reduction of 90 dB is required. As ....
M. I. Skolnik, Introduction to Radar Systems, 3 rd Ed., McGraw-Hill, 2001, p. 64.
Trained Detection of Buried Mines in SAR Images via.. - Cosgrove, Milanfar.. (Correct)
....was developed over the past four years under the generous support of the US Army s CERDEC, Fort Belvoir counter mine program. The promising performance of the proposed methods is demonstrated on actual field data collected during two separate field experiments. Since the early days of SAR [2], many algorithms have been developed for post processing the resulting (complex) SAR imagery, to produce classification of pixels into regions with specific properties of interest. One class of algorithms seeks to adaptively model the background clutter, and detect targets as deviations from ....
M. L. Skolnik, Introduction to Radar Systems, Second Edition. McGraw-Hill, 1980.
Signal Design for LS and MMSE Channel Estimators - Järvensivu, Matinmikko, Mämmelä (Correct)
....of a matched filter bank with the discrete Fourier transform (DFT) was considered already in [8] DFT can be used if the measurement signal is effectively a rectangular pulse without any modulation. The use of fast Fourier transform (FFT) in filter banks is well known in the radar literature [9]. For example, Yao and Cafarella [10] used a simplified version of Bello s [1] estimator and the DFT. They also used a Hamming window in the time domain in the receiver. However, no mathematical analysis was given to consider the effects of windowing. Some theory on time and frequency domain ....
....noise vector. We assume that the covariance matrix ofn is cI where I is the identity matrix. The LS estimator of(11) is [1] H 1 H 1 H VLS = Z Z) Z r:gLsZ r. 12) The elements of the matrix ELS are Em LS : We 7( 13) X( v) z(t)z (t )eJ2V dt (14) is the radar ambiguity function, see e.g. [9, 15], of the transmitted signal. The estimator (13) can be interpreted as a matched filter bank Z followed by a time variant linear equalizer El s, see Fig. 1. The equalizer compensates the effects due to the ambiguity function of the transmitted signal. Similarly, the MMSE estimator of(11) is [1] ....
M.I. Skolnik, Introduction to Radar Systems, 3rd edition, McGraw-Hill, Boston, 2001.
A Sparse Signal Reconstruction Perspective for . . . - Malioutov (2003) (Correct)
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M. I. Skolnik, Introduction to Radar Systems, McGraw-Hill, 2000.
LOUD: A 1020-Node Modular Microphone - Array And Beamformer (Correct)
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Skolnik, M.I.: Introduction to Radar Systems. McGraw-Hill, New York (1980)
IEEE. Personal use of this material is permitted.. - Reprint Republish This (Correct)
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Merrill Ivan Skolnik, Introduction to Radar Systems, Editorial McGraw-Hill, 2000.
A Configurable FPGA-based Hardware Architecture for.. - Cumplido, Torres, Lopez (Correct)
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Merrill Ivan Skolnik, Introduction to Radar Systems, Editorial McGraw-Hill, 2000
FPGA based Architecture for Radar's STC, FTC and Gain modules - Garcia, Viveros, Cumplido (Correct)
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Merrill Ivan Skolnik, Introduction to Radar Systems, Editorial McGraw-Hill, 2000
A Multiple Model SNR/RCS Likelihood Ratio Score for.. - Benjamin Slocumb And (Correct)
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M. I. Skolnik, Introduction to Radar Systems, McGraw Hill, Boston, MA, 3 ed., 2001.
Viterbi Data Association Tracking Using Amplitude Information - Scala (Correct)
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M. I. Skolnik. Introduction to Radar Systems. McGraw-Hill, 3rd edition, 2001.
Trained Detection of Buried Mines in SAR Images via.. - Cosgrove, Milanfar.. (2004) (Correct)
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M. L. Skolnik, Introduction to Radar Systems, Second Edition. McGraw-Hill, 1980.
Efficient Particle-Based Track-Before-Detect in Rayleigh Noise - Mark Rutten Neil (Correct)
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M. I. Skolnik, Introduction to Radar Systems, 3rd ed. McGraw-Hill, 2001.
Spatial Diversity in Radars - Models and Detection.. - Fishler, Haimovich.. (2004) (Correct)
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M. Skolnik, Introduction to Radar Systems. McGraw-Hill, 3rd ed., 2002.
Data Fusion Development Concepts within Complex.. - Opitz, Henrich, Kausch (Correct)
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Merill I. Skolnik. Introduction to radar systems. McGraw Hill, Singapore, 1981.
Mimo Radar: An Idea Whose Time Has Come - Eran Fishler Alex (2004) (Correct)
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M. Skolnik, Introduction to Radar Systems, McGrawHill, 3rd edition, 2002.
Reliability of PDA based Target Tracking in Clutter - Musicki, Wang (Correct)
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M.I. Skolnik. Introduction to Radar Systems. McGraw Hill, New York, 1980.
Robust Implementations of the Multistage Wiener Filter - Hiemstra (2003) (Correct)
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M. I. Skolnik. Introduction to Radar Systems. McGraw-Hill, New York, NY, third edition, 2001.
Determining the Importance of Learning the Underlying.. - Cowper, Unsworth.. (Correct)
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M. I. Skolnik, Introduction to radar systems, McGraw-Hill, 2nd edition, 1981.
Aircraft Recognition from Features Extracted from Measured and.. - Zwart (2003) (Correct)
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Simulation Models, and Processing Techniques for a Sliding.. - Newhall (1997) (Correct)
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Skolnik M.I., Introduction to Radar Systems, McGraw Hill, 1980.
Aircraft Transporation System - Shea (2002) (Correct)
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Merrill I. Skolnik. Introduction to Radar Systems. Boston: McGraw-Hill, 1980.
LOUD: A 1020-Node Modular Microphone - Array And Beamformer (Correct)
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Skolnik, M.I.: Introduction to Radar Systems. McGraw-Hill, New York (1980)
High-T_c Superconductive Wideband Compressive Receivers - Lyons, Arsenault.. (1996) (Correct)
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M.I. Skolnik, Introduction to Radar Systems (McGraw-Hill, New York, 1980).
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