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Geometric representation of signals provides a compact, alternative characterization of signals.

Geometric representation of signals can provide a compact characterization of signals and can simplify analysis of theirperformance as modulation signals.

Orthonormal bases are essential in geometry. Let s 1 t s 2 t s M t be a set of signals.

Define ψ 1 t s 1 t E 1 where E 1 t 0 T s 1 t 2 .

Define s 21 s 2 ψ 1 t 0 T s 2 t ψ 1 t and ψ 2 t 1 E 2 ^ s 2 t s 21 ψ 1 where E 2 ^ t 0 T s 2 t s 21 ψ 1 t 2

In general

ψ k t 1 E k ^ s k t j 1 k 1 s kj ψ j t
where E k ^ t 0 T s k t j 1 k 1 s kj ψ j t 2 .

The process continues until all of the M signals are exhausted. The results are N orthogonal signals with unit energy, ψ 1 t ψ 2 t ψ N t where N M . If the signals s 1 t s M t are linearly independent, then N M .

The M signals can be represented as

s m t n 1 N s mn ψ n t
with m 1 2 M where s mn s m ψ n and E m n 1 N s mn 2 . The signals can be represented by s m s m 1 s m 2 s mN

ψ 1 t s 1 t A 2 T
s 11 A T
s 21 A T
ψ 2 t s 2 t s 21 ψ 1 t 1 E 2 ^ A A T T 1 E 2 ^ 0

Dimension of the signal set is 1 with E 1 s 11 2 and E 2 s 21 2 .

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ψ m t s m t E s where E s t 0 T s m t 2 A 2 T 4

s 1 E s 0 0 0 , s 2 0 E s 0 0 , s 3 0 0 E s 0 , and s 4 0 0 0 E s

m n d mn s m s n j 1 N s mj s nj 2 2 E s
is the Euclidean distance between signals.

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Set of 4 equal energy biorthogonal signals. s 1 t s t , s 2 t s t , s 3 t s t , s 4 t s t .

The orthonormal basis ψ 1 t s t E s , ψ 2 t s t E s where E s t 0 T s m t 2

s 1 E s 0 , s 2 0 E s , s 3 E s 0 , s 4 0 E s . The four signals can be geometrically represented using the 4-vector of projection coefficients s 1 , s 2 , s 3 , and s 4 as a set of constellation points.

Signal constellation

d 21 s 2 s 1 2 E s
d 12 d 23 d 34 d 14
d 13 s 1 s 3 2 E s
d 13 d 24
Minimum distance d min 2 E s

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Source:  OpenStax, Digital communication systems. OpenStax CNX. Jan 22, 2004 Download for free at http://cnx.org/content/col10134/1.3
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