Analog equalizers offer several advantages, such as high speed, small size,
low power, and minimum delay, over sampled digital equalizers, (In this pa
per, the phrase analog equalizer refers to continuous-time equalizers havin
g poles and zeros.) However, because of their feedback nature, their design
often involves extensive search procedures. Recently, an analytical design
technique based on equation-error formulation was proposed. In this paper,
we study this approach for partial response (PR) equalization and show tha
t it is quite sensitive to the choice of timing phase and it could result i
n quite suboptimal solution. We improve on it by using an iterative approac
h similar to that of Steiglitz and McBride. We also present a thorough simu
lation study to assess the performance loss incurred by low-order analog eq
ualizers and produce performance charts that can be used for selecting the
PR target for different channel characteristics. Application of this approa
ch to multi-level decision feedback equalization detection is also discusse
d.