通信原理知识点总结

总结了通信原理各章的知识要点,有助于同志们复习哦

Outline

2012.5

Chapter 0

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

Chapter 1

Definition and basic concepts of random process Stationary and non-stationary Mean, correlation, and covariance functions, the mean-square value and variance The concept of ergodic process Transmission of a random process through a linear time-invariant filter Y(t) h( )X(t )d

The mean, autocorrelation function, and mean-square value of Y Power spectral density Definition (Equ. 1.38) Input-output relation (Equ. 1.39) Einstein-Wiener-Khintchine relations (Equ. 1.42, 1.43) Properties Gaussian process (Equ. 80) Concept of white noise Representation of narrowband noise The canonical form (Equ. 1.100) Properties of the in-phase and quadrature components (p. 65-66) Representation using envelop and phase components (Equ. 1.105-1.107) Basic concepts of Rayleigh distribution and Rician distribution Uncorrelated and statistically independent (p.58)

Uncorrelated: Covariance is 0

Statistically independent: defined by joint probability density function

Chapter 2

Concepts of amplitude modulation and angle modulation (FM and PM) AM

AM signal (Equ. 2.2 and Fig. 2.3), and the amplitude sensitivity ka

Conditions of correct detection (p. 90)

总结了通信原理各章的知识要点,有助于同志们复习哦

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

Chapter 3

Sampling

Definitions of the sampling period and sampling rate

Instantaneous sampling and the ideal sampled signal (Equ. 3.1-3.3, Fig. 3.2) Derivation of the interpolation formula (Equ. 3.4-3.9)

The sampling theorem and definitions of Nyquist rate and Nyquist interval The methods of combat aliasing effect (p.187)

PAM

The difference between PAM and natural sampling

The concept of “sample and hold”

The PAM signal (Equ. 3.10-3.19)

总结了通信原理各章的知识要点,有助于同志们复习哦

The aperture effect Know PPM and PDM Quantization Quantization noise and (SNR)O of a uniform quantizer (Equ. 3.25-3.33) PCM Basic concepts Discrete in both time and amplitude Sampling, quantizing, and encoding Non-uniform quantizers -law and A-law Piecewise linear approximation to the companding circuit Five types of line codes and their waveforms Differential encoding Noise in PCM systems Know that noise including channel noise and quantization noise, and that performance is essentially limited by the quantization noise Concepts of TDM (Fig. 3.19) Know the basic concept of digital hierarchy (p.214) and that the basic rate is 64 kbps Concepts of DM and delta-sigma modulation Concepts of linear prediction and linear adaptive prediction DPCM and its processing gain (Equ. 3.82)

Chapter 4

Two sources of bit errors: ISI and noise

Matched filter

Frequency response (Equ. 4.14) and impulse response (Equ. 4.16)

Properties: the peak SNR dependents only on signal energy-to-noise psd ratio

at the filter input

Error rate due to noise

Derivation of Equ. 4.35

The complementary error function (Equ. 4.29)

The result with equiprobable input signals (Equ. 4.38-4.40)

The baseband data transmission system model (Fig. 4.7 and Equ. 4.44-4.48) Nyquist’s criterion

The Nyquist’s criterion (p.262)

The ideal Nyquist channel (Equ. 4.54-4.56 and Fig. 4.8, 4.9)

Raised cosine spectrum (Equ. 4.59, Fig. 4.10)

The definition of and the bandwidth BT

Correlative-level coding (partial response signaling)

Duobinary signaling (class I partial response)

Basic concepts (Fig. 4.11, 4.13, Equ. 4.66, 4.71)

The concept of decision feedback

总结了通信原理各章的知识要点,有助于同志们复习哦

Error-propagation and precoding Generalized form of correlative-level coding Baseband M-ary PAM transmission (Equ. 4.84) ADSL (Fig. 4.26) Optimum linear receiver For linear channel with both ISI and noise The MMSE receiver (Equ. 4.110 and Fig. 4.27) Adaptive equalization

The LMS algorithm (Equ. 4.114, 4.115)

The basic concept of decision-feedback equalization (Fig. 4.32)

Chapter 5

Geometric representation of signals (Equ. 5.5-5.7 and Fig. 5.3)

The vector form (Equ. 5.8) and definitions of length, Euclidean distance, and

angle

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