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Shadow filters generalisation to nth-class Y. Lakys and A. Fabre The theory of shadow filters, a new family of second-order filters recently introduced, is extended to class n filters, where n is a positive integer. It is shown that their centre frequency f 0An is given by f 0An ¼ f 0 (1 2 A) n/2 where f 0 is the centre frequency of the starting unity gain filter and A the gain of amplifiers. Simulation results of a practical example implemented for n ¼ 2 are given. They entirely confirm the theoretical analysis. Introduction: A new family of second-order filters, shadow filters, has been introduced in [1]. They can be either pasive or active. By another way, a practical implementation of a fully active reconfigurable filter for cognitive radio communications has been given in [2]. This belongs in fact to a subfamily of shadow filters. The general diagram of a shadow filter is shown in Fig. 1 [1]. A feedback voltage amplifier with gain A is added externally to a second-order basic cell (which could be passive or active) that exhibits a lowpass output V LP and a bandpass output V BP . Its centre frequency is f 0 and its quality factor is Q. We suppose for this generalisation that the magnitudes of both trans- fer functions of the basic cell are equal to unity. We denote the class-0 filter the starting second-order filter and the class-1 filter the shadow filter in Fig. 1. input V E V In V BP V LP f 0, Q A.V LP second-order filter A + + amplifier bandpass output lowpass output Fig. 1 Class-1, second-order shadow filter The study in [1] showed that the transfer functions of class-0 and class-1 filters remain of the same type. The gains of the bandpass outputs are identical. The magnitude of the gain of the lowpass output of the class-1 filter is (1 A) times lower than the gain of the lowpass of the class-0 filter. The centre frequency of the class-1 filter which is tunable by A (A , 1) is then given by: f 0A1 = f 0A 1 A . The 23 dB bandwidths of both bandpass outputs remain unchanged too. input V E input V E f 0An–1 V BP V LP A.V LP 1–A 1–A + + a b outputs V BP V LP outputs (n–1) class filter f 0An–1 f 0An (n–1) class filter A amplifier Fig. 2 Necessary modifications of (n 2 1) class filter, and class-n shadow filter a Necessary modifications of (n 2 1) class filter b Class-n shadow filter We introduce in this Letter the generalisation of the above theory in order to obtain the class-n shadow filter (n positive integer) and we investigate its properties. Simulation results of a class-2 (n ¼ 2) shadow filter operating in current mode are given to confirm this generalisation. Theoretical approach: The value of A being always unchanged, we suppose that the previous transformation is applied as indicated in Fig. 1 up to the class-(n 2 1) filter. The latter has then the same proper- ties as the shadow filter in Fig. 1 (class 1) if we consider here the shadow filter of class-(n 2 2) as the starting filter. Its centre frequency is then given by: f 0A(n1) = f 0A(n2) 1 A . As mentioned above, the gain of the bandpass output remains unchanged while the gain of the lowpass output is divided by (1 A). Fig. 2a shows the class-(n 2 1) filter the lowpass output of which is amplified by a factor (1 A) in order to get the gain back to its initial value (unity), therefore the resulting filter will be exactly in the same conditions as the starting class-0 filter. Fig. 2b shows the class-n shadow filter obtained by applying the same transformations as those presented in Fig. 1. Its properties are easily deduced from those of the previous class-1 filter. Its centre frequency is f 0An = f 0A(n1) 1 A = f 0 A(1 A) n/2 and its 23 dB bandwidth of the bandpass output is always identical to that of class-0. Fig. 3 shows the evolution of the ratio f 0An /f 0 as a function of gain A for different values of n. When A is negative (region 3) f 0An is greater than f 0 and its evolution is even faster as n is greater. Note that for n ¼ 2 the evolution is a linear function of A. n = 2 n = 3 f 0An /f n 1 0 1 n = 1 A < 0 region 3 A < 0 region 2 0 < A < 1 region 1 A > 1 A > 0 shadow filter unfeasible Fig. 3 Variation of f 0An /f 0 against A for various values of n The analysis of different sensitivities shows that S f0An A = S QAn A = −(n/2)S GLPAn A =−nA/2(1 A); therefore, for example for n ¼ 2 and A negative, all the values of these sensitivities are less than or equal to unity and an accidental variation on A will not have any impact on the parameters of the shadow filter. Z Q C2 feedback conveyor C1 V C1 Q CCCII+ YQ I Q I 0CR XQ X 2 2 CCCII+ Y2 I 02 Z2 ZCR1 ; Gi =2 Z CR2 ; G i =|A| CCCII+ Z 1 1 CCCII+ X 1 I01 Y 1 Z OUT I OUT (t) basic filter (class-0) I IN (t) CR X CR Y CR Fig. 4 Class-2 current mode shadow filter, A , 0 Practical example: The generalisation above is also valid for circuits implemented in current mode. Because the latter is preferred for circuits operating at high frequencies [3] and signal summing is easier to obtain, the current mode shadow filters will occupy the smallest silicon area. We have implemented our circuits in current mode using current controlled conveyors (CCCII+) [3, 4]. Fig. 4 shows the entire class-2 shadow filter. The basic filter (class-0) which comprises conveyors 1, 2 and Q is the same as in [1] and I out is its bandpass output. Its centre frequency is f 0 = 1/2pR X C for I 01 = I 02 = I 0 and C1 = C2 = C; R X = V T /2I 0 being the intrinsic resistance on output X of the CCCII+ [3]. Current I Q allows tuning of the quality factor. The voltage V C1 across capacitor C1 is lowpass so that the total feedback current which is added to the ELECTRONICS LETTERS 8th July 2010 Vol. 46 No. 14

Shadow filters generalisation to nth-class

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Page 1: Shadow filters generalisation to nth-class

Shadow filters generalisation to nth-class

Y. Lakys and A. Fabre

The theory of shadow filters, a new family of second-order filtersrecently introduced, is extended to class n filters, where n is a positiveinteger. It is shown that their centre frequency f0An is given by f0An ¼

f0(1 2 A)n/2 where f0 is the centre frequency of the starting unitygain filter and A the gain of amplifiers. Simulation results of a practicalexample implemented for n ¼ 2 are given. They entirely confirm thetheoretical analysis.

Introduction: A new family of second-order filters, shadow filters, hasbeen introduced in [1]. They can be either pasive or active. Byanother way, a practical implementation of a fully active reconfigurablefilter for cognitive radio communications has been given in [2]. Thisbelongs in fact to a subfamily of shadow filters. The general diagramof a shadow filter is shown in Fig. 1 [1]. A feedback voltage amplifierwith gain A is added externally to a second-order basic cell (whichcould be passive or active) that exhibits a lowpass output VLP and abandpass output VBP. Its centre frequency is f0 and its quality factor isQ. We suppose for this generalisation that the magnitudes of both trans-fer functions of the basic cell are equal to unity. We denote the class-0filter the starting second-order filter and the class-1 filter the shadowfilter in Fig. 1.

inputVE VIn

VBP

VLPf0, Q

A.VLP

second-order filter

A

++

amplifier

bandpassoutput

lowpassoutput

Fig. 1 Class-1, second-order shadow filter

The study in [1] showed that the transfer functions of class-0 andclass-1 filters remain of the same type. The gains of the bandpassoutputs are identical. The magnitude of the gain of the lowpass outputof the class-1 filter is (1 − A) times lower than the gain of the lowpassof the class-0 filter. The centre frequency of the class-1 filter which istunable by A (A , 1) is then given by: f0A1 = f0A

�������

1 − A√

. The 23 dBbandwidths of both bandpass outputs remain unchanged too.

inputVE

inputVE

f0An–1

VBP

VLP

A.VLP

1–A

1–A

++

a

b

outputs

VBP

VLP

outputs

(n–1) class filter

f0An–1

f0An

(n–1) class filter

Aamplifier

Fig. 2 Necessary modifications of (n 2 1) class filter, and class-n shadowfilter

a Necessary modifications of (n 2 1) class filterb Class-n shadow filter

ELECTRONICS LETTERS 8th July 2010 Vol. 46 N

We introduce in this Letter the generalisation of the above theory inorder to obtain the class-n shadow filter (n positive integer) and weinvestigate its properties. Simulation results of a class-2 (n ¼ 2)shadow filter operating in current mode are given to confirm thisgeneralisation.

Theoretical approach: The value of A being always unchanged, wesuppose that the previous transformation is applied as indicated inFig. 1 up to the class-(n 2 1) filter. The latter has then the same proper-ties as the shadow filter in Fig. 1 (class 1) if we consider here the shadowfilter of class-(n 2 2) as the starting filter. Its centre frequency is thengiven by: f0A(n−1) = f0A(n−2)

�������

1 − A√

. As mentioned above, the gain ofthe bandpass output remains unchanged while the gain of the lowpassoutput is divided by (1 − A).

Fig. 2a shows the class-(n 2 1) filter the lowpass output of which isamplified by a factor (1 − A) in order to get the gain back to its initialvalue (unity), therefore the resulting filter will be exactly in the sameconditions as the starting class-0 filter. Fig. 2b shows the class-nshadow filter obtained by applying the same transformations as thosepresented in Fig. 1. Its properties are easily deduced from those of theprevious class-1 filter. Its centre frequency is f0An = f0A(n−1)

�������

1 − A√

=f0A(1 − A)n/2 and its 23 dB bandwidth of the bandpass output isalways identical to that of class-0. Fig. 3 shows the evolution of theratio f0An/f0 as a function of gain A for different values of n. When Ais negative (region 3) f0An is greater than f0 and its evolution is evenfaster as n is greater. Note that for n ¼ 2 the evolution is a linear functionof A.

n = 2

n = 3 f0An/fn

1

0 1

n = 1

A < 0

region 3A < 0

region 2 0 < A < 1

region 1 A > 1

A > 0

shadow filterunfeasible

Fig. 3 Variation of f0An/f0 against A for various values of n

The analysis of different sensitivities shows that Sf0An

A = SQAn

A =−(n/2)SGLPAn

A = −nA/2(1 − A); therefore, for example for n ¼ 2 andA negative, all the values of these sensitivities are less than or equalto unity and an accidental variation on A will not have any impact onthe parameters of the shadow filter.

ZQC2

feedbackconveyor

C1VC1

QCCCII+

YQ

IQ

I0CR

XQ

X2 2CCCII+

Y2

I02

Z2

ZCR1; Gi = 2

ZCR2; Gi = |A|

CCCII+

Z1 1CCCII+

X1

I01

Y1ZOUT

IOUT(t)

basic filter (class-0)

IIN(t)

CR

XCR

YCR

Fig. 4 Class-2 current mode shadow filter, A , 0

Practical example: The generalisation above is also valid for circuitsimplemented in current mode. Because the latter is preferred for circuitsoperating at high frequencies [3] and signal summing is easier to obtain,the current mode shadow filters will occupy the smallest silicon area. Wehave implemented our circuits in current mode using current controlledconveyors (CCCII+) [3, 4]. Fig. 4 shows the entire class-2 shadow filter.The basic filter (class-0) which comprises conveyors 1, 2 and Q is thesame as in [1] and Iout is its bandpass output. Its centre frequency isf0 = 1/2pRX C for I01 = I02 = I0 and C1 = C2 = C;RX = VT/2I0

being the intrinsic resistance on output X of the CCCII+ [3]. CurrentIQ allows tuning of the quality factor. The voltage VC1 across capacitorC1 is lowpass so that the total feedback current which is added to the

o. 14

Page 2: Shadow filters generalisation to nth-class

input is IZCR = (2 + |A|)VC1/RXCR;RXCR = VT/2I0CR being the intrinsicresistance of the conveyor (CR). Note that the emitter areas of transistorsof the two outputs of the conveyor (CR) are properly dimensioned [3], ina way to have IZCR1 = 2IXCR and IZCR2 = |A|IXCR with A , 0. Thus, con-veyor (CR) allows synthesising all the necessary current amplifiers thatare deduced for n ¼ 2 from Figs 1 and 2b, the bias current of the con-veyor (CR) being in this way chosen as |A| = I0CR/I0.

This filter was implemented in 0.25 mm SiGe BiCMOS technologyfrom STMicroelectronics. The main limitations result from the transitionfrequency for the PNP transistors in this technology, that is about 6 GHz,so the maximal operating frequency does not have to exceed 1 to 2 GHz.With such frequencies, the limitations owing to the variations of A andRX according to the frequency can be neglected. Biased under +2.5 Vwith I0 ¼ 50 mA and C ¼ 5 pF, the centre frequency of the startingbandpass (class-0) filter is 104 MHz. For the class-2 shadow filter weobtained f0A2 ¼ 211 MHz (with A ¼ 21), 374 MHz (with A ¼ 22)and 585 MHz (with A ¼ 25), the corresponding values calculatedtheoretically from the formula above being 208, 312, and 624 MHz,respectively. The value of the Q-factor can be adjusted to the desiredvalue, varying current IQ, without incidence on f0A2 (in fact lowerthan 2% in all cases). All these results entirely validate thegeneralisation.

Conclusions: The theory of shadow filters has been generalised toclass-n shadow filters, thus opening the door to new applications. Theonly necessary amplifiers for this generalisation have either gain A or(1 − A) which are easily synthesised in current mode. A practical

ELECTR

example of a class-2 (n ¼ 2) shadow filter operating in current modehas been given. It has a minimum number of CCCII+ and its centre fre-quency f0A2 is directly proportional to gain A.

# The Institution of Engineering and Technology 201016 February 2010doi: 10.1049/el.2010.0452One or more of the Figures in this Letter are available in colour online.

Y. Lakys and A. Fabre (IMS Laboratory, IPB-ENSEIRB - UMR5218CNRS, Universite Bordeaux 1, 351 Cours de la liberation - 33405,Talence Cedex, France)

E-mail: [email protected]

References

1 Lakys, Y., and Fabre, A.: ‘The shadow filters – a new family of 2nd orderfilters’, Electron. Lett., 2010, 46, (4), pp. 276–277

2 Lakys, Y., Godara, B., and Fabre, A.: ‘Cognitive and encryptedcommunications. Part 2: a new theory for frequency agile active filtersand the validation results for an agile bandpass in SiGe-BiCMOS’.Invited paper, 6th Int. Conf. on Electrical and Electronics Engineering,ELECO 2009, Bursa, Turkey, November 2009, pp. 16–29

3 Fabre, A.: ‘Electronique analogique rapide, circuits et applications’, (inFrench), TechnoSup, Ellipses edit., Paris, France, 2009

4 Fabre, A., Saaid, O., Wiest, F., and Boucheron, C.: ‘High frequencyapplications based on a new current controlled conveyor’, IEEE Trans.Circuits Syst., 1996, 43, pp. 82–91

ONICS LETTERS 8th July 2010 Vol. 46 No. 14