The Binomial Multi Section Transformer


 Charity Cain
 3 years ago
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1 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 1/17 The Bioial Multi Sectio Trasforer Recall that a ultisectio atchig etwork ca be described usig the theory of sall reflectios as: where: Γ ( ω ) = Γ +Γ e +Γ e + +Γ e i = j 2ωT j 4ωT j2ωt 1 2 = Γ e j2ωt T = v p propagatio tie through 1 sectio ote that for a ultisectio trasforer, we have degrees of desig freedo, correspodig to the characteristic ipedace values Z. Q: What should the values of Γ (i.e., Z ) be? A: We eed to defie idepedet desig equatios, which we ca the use to solve for the values of characteristic ipedace Z. First, we start with a sigle desig frequecy ω, where we wish to achieve a perfect atch: Ji Stiles The Uiv. of Kasas Dept. of EECS
2 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 2/17 Γ i ( ω = ω ) = That s just oe desig equatio: we eed 1 ore! These additio equatios ca be selected usig ay Γ criteria oe such criterio is to ake the fuctio ( ω) axially flat at the poit ω = ω. i To accoplish this, we first cosider the Bioial Fuctio: j 2θ ( θ ) A( 1 e ) Γ = + This fuctio has the desirable properties that: ad that: jπ ( θ π 2) A( 1 e ) Γ = = + = ( 1 1) = A d Γ ( θ ) d θ θ = π 2 = for = 123,,,, 1 I other words, this Bioial Fuctio is axially flat at the poit θ π 2 Γ θ = π 2 =. =, where it has a value of ( ) Q: So? What does this have to do with our ultisectio atchig etwork? Ji Stiles The Uiv. of Kasas Dept. of EECS
3 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 3/17 A: Let s expad (ultiply out the idetical product ters) of the Bioial Fuctio: j 2θ ( θ ) A( 1 e ) j2θ j 4θ j6θ j2θ = A( C + C1 e + C2 e + C3 e + + C e ) Γ = + where: C!!! ( ) Copare this to a sectio trasforer fuctio: Γ ( ω) = Γ +Γ e +Γ e + +Γ e i j 2ωT j 4ωT j2ωt 1 2 ad it is obvious the two fuctios have idetical fors, provided that: Γ = AC ad ωt = θ Moreover, we fid that this fuctio is very desirable fro the stadpoit of the a atchig etwork. Recall that Γ θ = at θ = π 2a perfect atch! ( ) Additioally, the fuctio is axially flat at θ = π 2, therefore Γ( θ ) over a wide rage aroud θ = π 2a wide badwidth! Ji Stiles The Uiv. of Kasas Dept. of EECS
4 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 4/17 Q: But how does θ = π 2 relate to frequecy ω? A: Reeber that ωt = θ, so the value θ = π 2 correspods to the frequecy: v p 1 π π ω = = T 2 2 This frequecy ( ω ) is therefore our desig frequecy the frequecy where we have a perfect atch. ote that the legth has a iterestig relatioship with this frequecy: v p π 1 π λ π λ = = = = ω 2 β 2 2π 2 4 I other words, a Bioial Multisectio atchig etwork will have a perfect atch at the frequecy where the sectio legths are a quarter wavelegth! Thus, we have our first desig rule: Set sectio legths so that they are a quarterwavelegth ( λ 4 ) at the desig frequecy ω. Q: I see! Ad the we select all the values Z such that Γ = AC. But wait! What is the value of A?? Ji Stiles The Uiv. of Kasas Dept. of EECS
5 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 5/17 A: We ca deterie this value by evaluatig a boudary coditio! Specifically, we ca easily deterie the value of Γ ( ω) at ω =. Z Z i Z 1 Z 2 Z R L ote as ω approaches zero, the electrical legth β of each sectio will likewise approach zero. Thus, the iput ipedace Z i will siply be equal to R L as ω. As a result, the iput reflectio coefficiet ( ω ) be: L ( ω ) ( ω ) Zi = Z Γ ( ω = ) = Zi = + Z RL Z = R + Z However, we likewise kow that: ( ) Γ = A 1+ = A 2 j 2 ( ) ( e ) ( 1 1) = A + Γ = ust Ji Stiles The Uiv. of Kasas Dept. of EECS
6 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 6/17 Equatig the two expressios: Ad therefore: R Z Γ ( ) = A 2 = L RL + Z A = 2 L RL R Z + Z (A ca be egative!) We ow have a for to calculate the required argial reflectio coefficiets Γ : Γ = AC = A! ( )!! Of course, we also kow that these argial reflectio coefficiets are physically related to the characteristic ipedaces of each sectio as: Γ = Z Z Z + Z Equatig the two ad solvig, we fid that that the sectio characteristic ipedaces ust satisfy: 1+Γ 1+ AC Z Z Z = = Γ 1 AC Ji Stiles The Uiv. of Kasas Dept. of EECS
7 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 7/17 ote this is a iterative result we deterie Z 1 fro Z, Z 2 fro Z 1, ad so forth. Q: This result appears to be our secod desig equatio. Is there soe reaso why you did t draw a big blue box aroud it? A: Alas, there is a big proble with this result. ote that there are +1 coefficiets,1,, ) i the Bioial series, yet there are oly desig degrees of freedo (i.e., there are oly trasissio lie sectios!). Γ (i.e., { } Thus, our desig is a bit over costraied, a result that aifests itself the fially argial reflectio coefficiet Γ. ote fro the iterative solutio above, the last trasissio lie ipedace Z is selected to satisfy the atheatical requireet of the peultiate reflectio coefficiet Γ : 1 Z Z Γ = = AC Z + Z 1 Thus the last ipedace ust be: Z 1 + AC 1 = Z 1 1 AC 1 Ji Stiles The Uiv. of Kasas Dept. of EECS
8 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 8/17 But there is oe ore atheatical requireet! The last argial reflectio coefficiet ust likewise satisfy: Γ = AC = 2 L RL R Z + Z where we have used the fact that C = 1. But, we just selected Z to satisfy the requireet for Γ, we have o physical desig paraeter to satisfy this 1 last atheatical requireet! As a result, we fid to our great costeratio that the last requireet is ot satisfied: R Z Γ = L R + Z AC L!!!!!! Q: Yikes! Does this ea that the resultig atchig etwork will ot have the desired Bioial frequecy respose? A: That s exactly what it eas! Q: You big Why did you waste all y tie by discussig a overcostraied desig proble that ca t be built? A: Relax; there is a solutio to our dilea albeit a approxiate oe. Ji Stiles The Uiv. of Kasas Dept. of EECS
9 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 9/17 You udoubtedly have previously used the approxiatio: y x 1 y l y + x 2 x A approxiatio that is especially accurate whe y x is y sall (i.e., whe 1 x ) y l 2 x y x y + x y x ow, we kow that the values of Z + 1 ad Z i a ultisectio atchig etwork are typically very close, such that Z Z is sall. Thus, we use the approxiatio: + 1 Z Z 1 Z Γ = l Z Z 2 Z + 1 Ji Stiles The Uiv. of Kasas Dept. of EECS
10 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 1/17 Likewise, we ca also apply this approxiatio (although ot as accurately) to the value of A : A R Z L ( 1) R L = l R + Z Z L So, let s start over, oly this tie we ll use these approxiatios. First, deterie A : ( 1) 2 + R L A l Z (A ca be egative!) ow use this result to calculate the atheatically required argial reflectio coefficiets Γ : Γ = AC = A! ( )!! Of course, we also kow that these argial reflectio coefficiets are physically related to the characteristic ipedaces of each sectio as: 1 Z l + 1 Γ 2 Z Ji Stiles The Uiv. of Kasas Dept. of EECS
11 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 11/17 Equatig the two ad solvig, we fid that that the sectio characteristic ipedaces ust satisfy: Z = Z exp Γ ow this is our secod desig rule. ote it is a iterative rule we deterie Z 1 fro Z, Z 2 fro Z 1, ad so forth. Q: Huh? How is this ay better? How does applyig approxiate ath lead to a better desig result?? A: Applyig these approxiatios help resolve our overcostraied proble. Recall that the overcostrait resulted i: R Z L Γ = R + Z AC L But, as it turs out, these approxiatios leads to the happy situatio where: 1 R L Γ l A C = 2 Z Saity check!! provided that the value A is likewise the approxiatio give above. Ji Stiles The Uiv. of Kasas Dept. of EECS
12 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 12/17 Effectively, these approxiatios couple the results, such that each value of characteristic ipedace Z approxiately satisfies both Γ ad Γ + 1. Suarizig: * If you use the exact desig equatios to deterie the characteristic ipedaces Z, the last value Γ will exhibit a sigificat ueric error, ad your desig will ot appear to be axially flat. * If you istead use the approxiate desig equatios to deterie the characteristic ipedaces Z, all values Γ will exhibit a slight error, but the resultig desig will appear to be axially flat, Bioial reflectio coefficiet fuctio Γ ω! ( ) Figure 5.15 (p. 25) Reflectio coefficiet agitude versus frequecy for ultisectio bioial atchig trasforers of Exaple 5.6 Z L = 5Ω ad Z = 1Ω. Ji Stiles The Uiv. of Kasas Dept. of EECS
13 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 13/17 ote that as we icrease the uber of sectios, the atchig badwidth icreases. Q: Ca we deterie the value of this badwidth? A: Sure! But we first ust defie what we ea by badwidth. As we ove fro the desig (perfect atch) frequecy f the value Γ ( f ) will icrease. At soe frequecy (f, say) the agitude of the reflectio coefficiet will icrease to soe uacceptably high value ( Γ, say). At that poit, we o loger cosider the device to be atched. Γ ( f ) Γ Δ f f f 1 f f 2 ote there are two values of frequecy f oe value less tha desig frequecy f, ad oe value greater tha desig frequecy f. These two values defie the badwidth Δ f of the atchig etwork: ( ) ( ) Δ f = f f = 2 f f = 2 f f Ji Stiles The Uiv. of Kasas Dept. of EECS
14 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 14/17 Q: So what is the uerical value of Γ? A: I do t kow it s up to you to decide! Every egieer ust deterie what they cosider to be a acceptable atch (i.e., decide Γ ). This decisio depeds o the applicatio ivolved, ad the specificatios of the overall icrowave syste beig desiged. However, we typically set Γ to be.2 or less. Q: OK, after we have selected Γ, ca we deterie the two frequecies f? A: Sure! We just have to do a little algebra. We start by rewritig the Bioial fuctio: j 2θ ( θ ) A( 1 e ) j θ + jθ jθ = Ae ( e + e ) j θ + jθ jθ = Ae ( e + e ) Γ = + = Ae j θ ( 2cos θ ) ow, we take the agitude of this fuctio: ( θ ) 2 Γ = = 2 Ae jθ Acosθ cosθ Ji Stiles The Uiv. of Kasas Dept. of EECS
15 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 15/17 ow, we defie the values θ where Γ ( θ ) = 2 ( θ θ ) Γ = Γ = Acosθ =Γ as θ. I.E., : We ca ow solve for θ (i radias!) i ters of Γ : θ Γ = cos 2 A θ Γ = cos 2 A ote that there are two solutios to the above equatio (oe less that π 2 ad oe greater tha π 2)! ow, we ca covert the values of θ ito specific frequecies. Recall thatωt = θ, therefore: v ω = θ = θ T 1 p But recall also that = λ 4, where λ is the wavelegth at the desig frequecy f (ot f!), ad where λ = vp f. Thus we ca coclude: v 4v ω θ θ θ ( 4f ) p p = = = λ Ji Stiles The Uiv. of Kasas Dept. of EECS
16 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 16/17 or: ( 4 ) θ ( 2 ) 1 v f f θ f = = = 2π 2π π p θ where θ is expressed i radias. Therefore: f 1 1 2f 1 1 Γ = cos + π 2 A f 2 1 2f 1 1 Γ = cos π 2 A Thus, the badwidth of the bioial atchig etwork ca be deteried as: ( ) Δ f = 2 f f 1 1 4f 1 1 Γ = 2f cos + π 2 A ote that this equatio ca be used to deterie the badwidth of a bioial atchig etwork, give Γ ad uber of sectios. However, it ca likewise be used to deterie the uber of sectios required to eet a specific badwidth requireet! Ji Stiles The Uiv. of Kasas Dept. of EECS
17 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 17/17 Fially, we ca list the desig steps for a bioial atchig etwork: 1. Deterie the value required to eet the badwidth ( Δ f ad Γ ) requireets. 2. Deterie the approxiate value A fro Z, R L ad. 3. Deterie the argial reflectio coefficiets Γ = AC required by the bioial fuctio. 4. Deterie the characteristic ipedace of each sectio usig the iterative approxiatio: Z = Z exp Γ 5. Perfor the saity check: 1 R L Γ l 2 Z = A C 6. Deterie sectio legth = λ 4 for desig frequecy f. Ji Stiles The Uiv. of Kasas Dept. of EECS
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