Claims Analysis
Total Claims: 18
Claim 1
Independent Claim
221 words
A smart antenna receiver using a pilot signal in a base station of a CDMA mobile
communication system, comprising: an adaptive processor (230) for generating adaptive weights (W1, W2, Wn) using
radio signals (X1, X2, Xn) received respectively at a plurality of antennas; a weighting unit (210-1, 210-2, 210-n) for weighting said radio signals using said
adaptive weights; and an array output signal generator (220) for receiving said weighted signals and for
generating an array output signal (y) therefrom; characterized in that the receiver further comprises: a pseudo noise code generator (260) for generating a pseudo noise code which is
detected from said pilot signal and has been used in a transmitter; a despread signal generator (240) for generating a despread signal using said
array output signal and said pseudo noise code; an elimination unit (250) for substantially eliminating interference components of
said despread signal; a re-spread signal generator (280) for generating a re-spread reference signal (y d )
using the signal output from said elimination unit and said pseudo noise code; and an error signal generator (290) for generating an error signal (ε) indicating a
difference between said reference signal and said array output signal, said error
signal being input to the adaptive processor, the adaptive processor using said
error signal and said radio signals for generating optimal adaptive weights.
Claim 2
Dependent Claim
26 words
The receiver according to claim 1 characterized in that the weighting unit includes
a plurality of multipliers for multiplying said radio signals by said adaptive weights.
Claim 3
Dependent Claim
24 words
The receiver according to claim 1 or 2 characterized in that said array output
signal generator includes a summer for summing the weighted signals.
Claim 4
Dependent Claim
31 words
The receiver according to one of claims 1 to 3 characterized in that the despread
signal generator includes a multiplier for multiplying said array output signal by
said pseudo noise code.
Claim 5
Dependent Claim
26 words
The receiver according to one of claims 1 to 4 characterized in that said
elimination unit includes a data bandwidth filter for filtering said despread signal.
Claim 6
Dependent Claim
33 words
The receiver according to one of claims 1 to 5 characterized in that the re-spread
signal generator includes a multiplier for multiplying the output of said elimination
unit by said pseudo noise code.
Claim 7
Dependent Claim
33 words
The receiver according to one of claims 1 to 6 characterized in that the error
signal generator includes a subtracter for calculating the difference between said
reference signal and said array output signal.
Claim 8
Dependent Claim
39 words
The receiver according to one of claims 1 to 7 further characterized by a limiter (270) for adjusting the amplitude of the signal output from said elimination
unit and for providing the re-spread signal generator with said adjusted amplitude.
Claim 9
Dependent Claim
70 words
The receiver according to one of claims 1 to 8 characterized in that said adaptive
processor is arranged for generating said optimal adaptive weights W by using
the following equation: W(k+1) = W(k) + 2µε*(k) · x(k) where k is a variable for counting time, µ is a scalar adjusting constant, ε is said
error signal, * indicates complex conjugation, and x(k) is a vector component of a
radio signal.
Claim 10
Dependent Claim
146 words
A signal receiving method using a pilot signal in a CDMA mobile communication
system, the method comprising the steps of: generating adaptive weights (W1, W2; Wn) using radio signals (X1, X2, Xn)
received at a plurality of antennas; weighting said radio signals using said adaptive weights; and generating an array output signal (y) using said weighted signals; characterized in that the method further comprises the steps of: generating a despread signal using said array output signal and a pseudo noise
code detected from said pilot signal; substantially eliminating interference components of said despread signal; generating a re-spread reference signal (y d ) using the signal having eliminated
interference components and said pseudo noise code; and generating an error signal (ε) indicating a difference between said reference
signal and said array output signal and using said error signal and said radio
signals for generating optimal adaptive weights.
Claim 11
Dependent Claim
22 words
The method according to claim 10 characterized in that the step of weighting
includes multiplying said radio signals by said adaptive weights.
Claim 12
Dependent Claim
24 words
The method according to claim 10 or 11 characterized in that the step of
generating an array output signal includes summing the weighted signals.
Claim 13
Independent Claim
31 words
The method according to one of claims 10 to 12 characterized in that the step of
generating a despread signal includes multiplying said array output signal by said
pseudo noise code.
Claim 14
Independent Claim
22 words
The method according to one of claims 10 to 13 characterized in that the step of
eliminating includes filtering said despread signal.
Claim 15
Independent Claim
34 words
The method according to one of claims 10 to 14 characterized in that the step of
generating a re-spread reference signal includes multiplying the signal having
eliminated interference components by said pseudo noise code.
Claim 16
Independent Claim
37 words
The method according to one of claims 10 to 15 characterized in that the step of
generating the error signal includes a subtracting step of calculating the difference
between said reference signal and said array output signal.
Claim 17
Independent Claim
37 words
The method according to one of claims 10 to 16 further characterized by the step
of adjusting the amplitude of the signal having eliminated interference
components and using said adjusted amplitude for generating the re-spread
reference signal.
Claim 18
Independent Claim
65 words
The method according to one of claims 10 to 17 characterized in that the step of
generating optimal adaptive weights W uses the following equation: W(k+1) = W(k) + 2µε*(k) · x(k) where k is a variable for counting time, µ is a scalar adjusting constant, ε is said
error signal, * indicates complex conjugation, and x(k) is a vector component of a
radio signal.