Microwave Network Analysis PDF
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Seoul National University of Science and Technology
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These notes cover microwave network analysis techniques, including the use of matrices such as S, Z, Y, and ABCD parameters. The material discusses the relationships between voltage, current, and impedance parameters at different ports of a microwave component, and examines the properties of reciprocal and lossless networks.
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# Week X N-Port Network ## **Microwave Network Analysis** - We are interested in transfer function of a microwave system, device, component. - We prefer circuit analysis instead of EM - We are interested in V, I, their ratio "Z" - @ terminal port of micro wave device (DUD) can many ports depending...
# Week X N-Port Network ## **Microwave Network Analysis** - We are interested in transfer function of a microwave system, device, component. - We prefer circuit analysis instead of EM - We are interested in V, I, their ratio "Z" - @ terminal port of micro wave device (DUD) can many ports depending on it's app. ## **[Z] and [Y] Matrices** - [Z] -> [V] = [Z] [I] - Zij = Vi / Ii, i = 0 for ks (other part opened) - i = 1, 2 for i = 1, 2, 3, 14; i = 0 for ks - [Y] -> [I] = [Y] [V] Yis: Di / Vi, i = 0 for k = s (other part shorted) - [V] = [Z] [I] = [Z] [Y] [V] - [U]= Identity Matrix ## **[S] Matrix** - Why s parameters? - [S] relates to v and I at ports. Because of that hard to measure them in opened port and high fregs. - Then [S] provides solution where only represent ratios of Voutput and Vinput at porns that is relative value and easy to measure. - **S-Parameter** - Incident Wave (i) - Reflected Wave (i) - Reflection Coeff : Γ = Γi/Γi - Transmitted Wave (B) - Transmitted Wave (B) - Transmission Coeff: T: Γb/Γi ## **Reciprocal And Lossless Network** - Reciprocal network means not containing any active device, non reciprocal material nor anistotropic material (ferrite, bsymmetric) [Z] = [Z]t plus Zij = Zji - Lossless network: means non containing any lossy material or lossy component (imaginary only) - [V-] + [V+] = [Z] (I-) _ [I+] - [V-] + [V+] = [Z] [I+] _ [Z] [I-] - (U) (Identity matrix) [V-] ([U] + [Z]) [I+] (U) - [Y] ## **S Matrix Example** - Matched network Smin = 0 for all n - [S] = - 0 1 0 0 - 0 1 0 0 - 0 0 3 0 - 0 0 0 1 - Reciprocal network Smin = Sum, [S] = [S]t - Lossless network [S]t [S]* = [U ] or [S] = (csgt) [U]: - ∑ Ski Ski = 1 and ∑ Ski Sks = 0 - k=1 - F=1 if s ## **ABCD Matrix** - For example: 2x2 matrix - [V] = [Z] [I] - [I] = [S] (-^) - [V] = [A] [Z] [I] - ABCD Parameters - - 1 2 0 1 - 0 2 0 1 - 1 0 1 0 - 0 1 0 1 - CHART ## **Lossless Network** - For lossless network Pin = Pout (ex: 3 port) - Pin = 1/2 [Vt]t [Vt]* + 1/2 [V+]t [V+] * - Pout = 1/2 [Vt]t [Vt]* + 1/2 [V+] t [V+] * - 2Pin = [Vt]t [Vt]* + [V+]t [V+] * - 2Pout = - [Vt]t [Vt]* + [V+]t [V+] * = - Pin = Pout - [Vt]t [Vt]* = [V-]t [J-J* = ([S] [Vt]) ([S] [V+]*) - [Vt]t [Vt]* = [V-]t [J-J* = ([S] [Vt]) ([S] [V+]*) - IF [S]= unitary or [S] = (csgt) [U]: - IF [S] unitary or [S] = (csgt) [U]: - [S]t [S]: [U] - ∑ Ski Ski = 1 - Then 51 su* + 5215 24 + 531 531* = 1 - ∑ Ski Sks = 0 - 512 5 + 522 521*+ 532 531* = 0 - Conclusion: - Dot product of any column of [S] w/ conjugate w/ the same column = 1 - Dot product of a column of [S) w/ compuyate n/ another column is 0 ## **Also, All of this we can check in the table** - Also, [ABCD],[S],[Z],[Y] convert each other, we can see in the table.