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Software Defined Radio Lec 7

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Title: Software Defined Radio Lec 7


1
Software Defined Radio Lec 7
Digital Generation of Signals
  • Sajjad Hussain,
  • MCS-NUST.

2
Outline for Todays Lecture
  • Digital Generation of Signals
  • Introduction
  • Comparison to Analog generation
  • DDS Techniques
  • Analysis of Spurious Contents
  • Band-pass Signal Generation
  • Performance of DDS Systems
  • Generation of Random Numbers
  • ROM compression techniques

3
Generation of Random Sequences
  • Random sequences are needed in a variety of
    communication applications ? scrambling,
    bit-synchronization, spreading, security etc.
  • Spreading
  • Use of different codes for same freq.
  • Scrambling
  • Help maintain synchronization and adding
    randomness..
  • Ideal binary random sequence (infinite length,
    identically distributed RV ) vs. PN sequences
    (finite length)

4
Type of Sequences
  • Most common technique for generating PN sequences
    ? use of binary digital linear feedback shift
    register
  • Maximum Length Sequences
  • Sequences with a maximum-period are called max
    length seq. ? m-sequences
  • Shift register with 2m-1 period -gt polynomial
    should be primitive-gt irreducible-gt cannot be
    factored into product of polynomials with binary
    coefficients and degrees of at-least 1
  • If N 2m-1 is the period of sequence y(n), then
    the periodic auto-correlation function is

5
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6
Gold Sequences
  • Composite codes with good and well-defined
    cross-correlation properties
  • Generated by using preferred m-sequences ?
    m-sequences with certain specific correlation
    properties
  • Modulo-2 sum of 2 preferred m-sequences
  • Same length as that of input codes
  • A different code is generated by shifting one of
    the codes
  • Thus construction of 2m-1 codes from pairs of
    m-stage shift registers
  • Though constructed from m-sequences, are not
    maximal sequences
  • Codes can be selected with bounded
    cross-correlation properties

7
Gold Code Generator
8
Gold Codes with bounded auto-correlation
9
Randomization with Wheatley procedure
  • Used for removal of harmonic spurs
  • If removal not possible, spreading energy in all
    harmonics is useful Wheatley procedure ? high
    noise floor with few strong harmonics
  • Randomly varying (dithering) the periods of
    output, while keeping the average of these
    periods unchanged
  • The method consists of adding a sequence of
    random numbers to the contents of the accumulator
    in a prescribed manner to convert harmonic
    signals into a continuous noise floor, whose
    level is much lower than that of harmonic signals
  • At each clock-cycle a RV is added 0?r-1
  • Introduces un-correlated phase noise

10
Wheatley Procedure
11
Effect on Spectrum because of Wheatley Procedure
12
ROM Compression
  • Spurious signals are one of the main drawbacks of
    DDS system, especially those caused by
    phase-truncation spurious harmonic signals
  • phase-truncation to avoid a very large ROM
  • Phase-truncation can be avoided if it was
    possible to compress more information into the
    ROM
  • One simple compression approach takes advantage
    of the symmetry of sine-wave ? store only one
    quadrant of information ? eliminates 75 of the
    normal memory requirements
  • Other techniques along-with the sine-symmetry
    interpolation-based

13
Interpolation using Taylor Series Expansion
  • Certain values of sine function are stored in ROM
    and the values in-between these angles can be
    interpolated using Taylor series expansion

14
Interpolation using two terms of power series
15
Effect of using four-terms of power series
16
Effect of using seven-terms of power series
17
Interpolation using trignometric identities
  • Using trigonometric identities to find the values
    between the exact known values
  • Most of these methods work only well when the
    deviation from the known angle is very small
  • Hutchison Algorithm
  • Division of values of sine function in first
    quadrant into coarse and fine ROM
  • Trig. Identities can then be used to generate the
    sine values for any angle ? by decomposing it to
    values contained in the coarse and fine ROM
  • No. of bits addressing the ROM are divided into C
    coarse bits (for ?C) and F fine bits (for ?F)
  • If ? ?C ?F

18
Example ROM size savings using Hutchison
algorithm
  • For an accumulator (address) width 12 bits and
    ROM width na 12 bits ? total no. of bits
    stored is 212 12 49,152
  • Same resolution can be obtained using a lesser
    no. of stored bits by Hutchison algorithm
  • If C 8 bits and F 4 bits
  • Total no. of bits required for storing ? 24 12
    28 12 3,264 bits

19
Sunderland algorithm
  • An improvement over Hutchison algorithm and
    divides the phase-angle into three parts, thus
    using 3 ROMs
  • ? ?C ?s ?F
  • The coarse angles are defined in the first
    quadrant of a sine-wave from 0 to p/2, divided
    into 2C equal angles. The Sunderland angle is
    defined as one of coarse angles divided into 2S
    equal angles. Finally, the fine angle is defined
    as one of the Sunderland angles divided into 2F
    equal angles

20
Sine-Phase Difference Algorithm Approach
  • Introduces a way to reduce the storage
    requirements for the quarter-wave sine function.
    The idea is to store f(?) sin (p?/2) ? ,
    instead of sin (p?/2)
  • The variation in the function f(?) values is
    small, and thus a small LUT (as many as two bits
    saving for storing amplitude values) can be used
    to represent f(?) and sin (p?/2) can be easily
    calculated from f(?)
  • Sine LUT propagation delay is also reduced,
    increasing the maximum clock freq. of DDS

21
Modified Sine-Phase Difference Algorithm Approach
Parabolic Approximations
  • In this approach, a parabola is used to
    approximate the sinusoid of the sine half-period
  • To generate the same sine wave, the sine parabola
    difference approximation uses a more narrow range
    of values (saves as many as 4 bits of memory
    word-length) than the sine-phase difference
    approach
  • Additional hardware to generate corresponding
    parabola values at ROM output can be easily
    implemented without significant complexity

22
Example Qualcomms Q2240 Direct Digital
Synthesizer
  • Suited for needs of wireless comm. And complex
    waveform synthesis
  • Max freq. 100 MHz (5V) or 60 MHz (3.3 V)
  • 31-bit Freq. Control Register (FCR), 32-bit
    phase-accumulator, 14bit address output and
    12-bit sine LUT
  • 14-bit phase output resolution
  • 12-bit output resolution
  • The latched FCR value is accumulated in the
    phase-accumulator in every clock-cycle
  • The LUT can be by-passed, ending the 14 MSBs of
    the phase-accumulator directly to the output
  • The unused sine LUT is de-activated to reduce
    power consumption

23
Block Diagram of Qualcomms DDS Q2240I-3S1
24
Conclusion
  • DDS in comparison to analog approaches provide
  • Flexibility
  • Fine freq. resolution
  • Fast response time
  • Ease-of-manufacturing and testing
  • Robustness to environmental changes
  • Most DDS ? ACC ROM DAC
  • Issue in DDS Design
  • Spurious signal removal ? Hybrid designs
  • ROM-size constraints ? compression techs., trig.
    Identities. Etc.
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