东南大学通信原理考试大纲.doc

东南大学通信原理考试大纲

Outline
2012.6
Chapter 0
l l        Basic elements of communication systems (p.2)
l l        Primary communication resources (p.3)
l l        The mobile radio channel (p.18)
l l        Block diagram of digital communication system (p.22)
l l        Shannon’s information capacity theorem (p.23-24)

Chapter 1
l l        Definition and basic concepts of random process
l l        Stationary and non-stationary
l l        Mean, correlation, and covariance functions, the mean-square value and variance
l l        The concept of ergodic process
l l        Transmission of a random process through a linear time-invariant filter
n n       
n n        The mean, autocorrelation function, and mean-square value of Y
l l        Power spectral density
n n        Definition (Equ. 1.38)
n n        Input-output relation (Equ. 1.39)
n n        Einstein-Wiener-Khintchine relations (Equ. 1.42, 1.43)
n n        Properties
l l        Gaussian process (Equ. 80)
l l        Concept of white noise
l l        Representation of narrowband noise
n n        The canonical form (Equ. 1.100)
n n        Properties of the in-phase and quadrature components (p. 65-66)
n n        Representation using envelop and phase components (Equ. 1.105-1.107)
n n        Basic concepts of Rayleigh distribution and Rician distribution
l l        Uncorrelated and statistically independent (p.58)
n n        Uncorrelated: Covariance is 0
n n        Statistically independent: defined by joint probability density function

Chapter 2
l l        Concepts of amplitude modulation and angle modulation (FM and PM)
l l        AM
n n        AM signal (Equ. 2.2 and Fig. 2.3), and the amplitude sensitivity ka
n n        Conditions of correct detection (p. 90)
n n        Spectrum of AM wave (Equ. 2.5 and Fig. 2.4)
n n        Transmission bandwidth BT = 2W
n n        Virtues and limitations of AM
l l        Linear modulation schemes
n n        The general form (Equ. 2.7)
n n        DSB
u u      DSB signal (Equ. 2.8 and Fig. 2.5)
u u      Spectrum of DSB wave (Equ. 2.9 and Fig. 2.6)
u u      Coherent receiver
u u      Basic knowledge of costas receiver
u u      Basic concept of quadrature-carrier multiplexing
n n        Basic concepts of SSB and VSB
l l        Concepts of mixer (Fig. 2.16)
l l        Concepts of FDM
l l        Definitions of angle modulation
l l        FM
n n        A nonlinear modulation process
n n        Single-tone FM modulation
u u      Definitions of Df, b
u u      Basic knowledge of narrowband and wideband FM
n n        Transmission bandwidth
u u      Carson’s rule (Equ. 2.55)
u u      Know the universal curve
n n        Demodulation
u u      Frequency demodulation (a direct method) (Fig. 2.30)
u u      Know phase-locked loop (an indirect method)
l l        Definitions of SNR’s
n n        (SNR)I, (SNR)O, and (SNR)C
n n        Figure of merit (Equ. 2.81)
l l        Comparison of figure of merits between DSB-SC (Equ. 2.88) and AM (Equ. 2.95)
l l        Basic concepts of threshold effect of AM (p.138) and FM systems (p.149)

Chapter 3
l l        Sampling
n n        Definitions of the sampling period and sampling rate
n n        Instantaneous sampling and the ideal sampled signal (Equ. 3.1-33, Fig. 3.2)
n n        Derivation of the interpolation formula (Equ. 3.4-3.9)
n n        The sampling theorem and definitions of Nyquist rate and Nyquist interval
n n        The methods of combat aliasing effect (p.187)
l l        PAM
n n        The difference between PAM and natural sampling
n n        The concept of “sample and hold”
n n        The PAM signal (Equ. 3.10-3.19)
n n        The aperture effect
l l        Know PPM and PDM
l l        Quantization
n n        Quantization noise and (SNR)O of a uniform quantizer (Equ. 3.25-3.33)
l l        PCM
n n        Basic concepts
u u      Discrete in both time and amplitude
u u      Sampling, quantizing, and encoding
n n        Non-uniform quantizers
u u      m-law and A-law
u u      Piecewise linear approximation to the companding circuit
n n        Five types of line codes and their waveforms
n n        Differential encoding
n n        Noise in PCM systems
u u      Know that noise including channel noise and quantization noise, and that performance is essentially limited by the quantization noise
l l        Concepts of TDM (Fig. 3.19)
l l        Know the basic concept of digital hierarchy (p.214) and that the basic rate is 64 kbps
l l        Concepts of DM and delta-sigma modulation
l l        Concepts of linear prediction and linear adaptive prediction
l l        DPCM and its processing gain (Equ. 3.82)

Chapter 4
l l        Two sources of bit errors: ISI and noise
l l        Matched filter
n n        Frequency response (Equ. 4.14) and impulse response (Equ. 4.16)
n n        Properties: the peak SNR dependents only on signal energy-to-noise psd ratio at the filter input
l l        Error rate due to noise
n n        Derivation of Equ. 4.35
n n        The complementary error function (Equ. 4.29)
n n        The result with equiprobable input signals (Equ. 4.38-4.40)
l l        The baseband data transmission system model (Fig. 4.7 and Equ. 4.44-4.48)
l l        Nyquist’s criterion
n n        The Nyquist’s criterion (p.262)
n n        The ideal Nyquist channel (Equ. 4.54-4.56 and Fig. 4.8, 4.9)
n n        Raised cosine spectrum (Equ. 4.59, Fig. 4.10)
u u      The definition of a and the bandwidth BT
l l        Correlative-level coding (partial response signaling)
n n        Duobinary signaling (class I partial response)
u u      Basic concepts (Fig. 4.11, 4.13, Equ. 4.66, 4.71)
u u      The concept of decision feedback
u u      Error-propagation and precoding
n n        Generalized form of correlative-level coding
l l        Baseband M-ary PAM transmission (Equ. 4.84)
l l        ADSL (Fig. 4.26)
l l        Optimum linear receiver
n n        For linear channel with both ISI and noise
n n        The MMSE receiver (Equ. 4.110 and Fig. 4.27)
l l        Adaptive equalization
n n        The LMS algorithm (Equ. 4.114, 4.115)
n n        The basic concept of decision-feedback equalization (Fig. 4.32)

Chapter 5
l l        Geometric representation of signals (Equ. 5.5-5.7 and Fig. 5.3)
n n        The vector form (Equ. 5.8) and definitions of length, Euclidean distance, and angle
n n        Gram-Schmidt orthogonalization procedure
l l        Conversion of the continuous AWGN channel into a vector channel
n n        Basic formulations (Equ. 5.28-5.34)
n n        The vector representation represents sufficient statistics for detection
l l        Log-likelyhood functions for AWGN channel (Equ. 5.51)
l l        Maximum likelihood decoding
n n        The concept of signal constellation
n n        The maximum likelihood rule (Equ. 555), for AWGN channel, the rule is Equ. 5.59 and 5.61
l l        Equivalence of correlation and matched filter sampled at time T
l l        Probability of error
n n        Know the invariance to rotation and translation
n n        The concept of the minimum energy signals
n n        Know how to use union bound to derive a upper bound (p. 332 – 335) (Equ. 5.89)
n n        Know that there is, in general, no unique relationships between symbol error probabilities and BER

Chapter 6
l l        Basic concepts of keying and ASK, FSK, and PSK
l l        The relationship between baseband and passband power spectral density (Equ. 6.4)
l l        Bandwidth efficiency (Equ. 6.5)
l l        The passband transmission model
l l        Coherent PSK
n n        BPSK
u u      Basic definitions (Equ. 6.8-6.14, Fig. 6.3)
u u      Error probability (Equ. 6.20)
n n        QPSK
u u      Basic definitions (Equ. 6.23-6.27)
u u      Error probability (Equ. 6.34, 6.38)
u u      Generation and detection (Fig. 6.8)
n n        M-PSK
u u      Basic definitions (Equ. 6.46)
u u      Bandwidth efficiency
u u      Know that the power spectra of M-PSK has no discrete frequency component
l l        M-QAM
n n        Basic definitions (Equ. 6.53-6.55)
n n        QAM square constellations (Fig. 6.17)
l l        Coherent FSK
n n        Coherent BFSK
u u      Basic definitions (Sunde’s FSK) (Equ. 6.86-6.91, Fig. 6.25)
u u      Error probability (Equ. 6.102)
u u      Know that the power spectra of BFSK has discrete frequency components
n n        MSK
u u      The concept of CPFSK
u u      The concept of MSK
u u      The phase trellis
u u      Signal-space diagram (Fig. 6.29)
u u      Error probability (Equ. 6.127)
n n        Bandwidth efficiency of M-FSK signals
l l        Noncoherent receivers (Fig. 6.37)
l l        The reason of envelop detection (Fig. 6.38)
l l        Error probability of noncoherent receiver (Equ. 6.163)
l l        Noncoherent BFSK
n n        Receiver structure (Fig. 6.42)
n n        Error probability (Equ. 6.181)
l l        DPSK
n n        Basic concepts (Fig. 6.43, 6.44)
n n        Error probability (Equ. 6.184)
l l        Comparison of digital modulation schemes
n n        Relationship among the error probabilities (Table 6.8 and Fig. 6.45)
n n        Bandwidth efficiencies of M-PSK, M-QAM, and M-FSK