efficiency of the two-stage rc low-pass sano filter in comparison with
Transcripción
efficiency of the two-stage rc low-pass sano filter in comparison with
Revista Mexian. de F(sica 31 No. 2 (1985) 401406 401 EFFICIENCY OF THE TWO-STAGE LOW-PASS SANO FILTER IN COMPARISON WITH THE MATCHEO FILTER RC Francisco F. Medina E. Departamento Universidad de Antioquia, de Física A.A. 1226, Medellín, (recibido julio 24, 1984; aceptado noviembre Colombia 8, 1984) ABsmACf Matched Filters for detectíon the most usual sígnals (i.e., tri angular, rectangular and trapezoidal pulses) are complex and expensive. This work presents a general method to calculate suboptimal filters to be constructed using simple Re circuits, which exhibit high efficiency and low cost in comparison with those Matched Filters. We use a triangular pulse in basic band as input of the filters but there is no 1055 of generality because the pro cedures of calculation are completely general and are related with detection in a carry-band. RESlJ1.lEN Los filtros acoplados para la detección de las señales más usua les (¡.e •• pulsos triangulares, rectangulares y trapezoidales) son complicados y costosos. Este trabajo presenta un método general para el cálculo de filtros subóptimos construidos usando circuitos Re, los cua- 402 les exhiben una alta eficiencia y son poco costosos en comparación con los filtros acoplados. Utilizamos un pulso triangular en banda básica ca mo señal para los filtros, lo que no significa pérdida de generalidad ya que los procedimientos de cálculo son completamente generales y están relacionados con la detección en una banda de transporte. DETERMlNATICN OF '!HE SNRo 1. The signal-to-noise SNR IS (t) o <n2(O» = O ratio for the ~btched Filter is defined 2 1 (1) HAX o 2 the maximum power of the output and <n2(0» with ~ o (t)1MX o average power at the output of the device (Fig. 1). Fig. 1 as Block diagram of the Matehed the noise Filter. The impulse response function (IRF) of the Matched Filter for the signal surnmergcd into white h(t) noisc at thc input is (2) S'(-t) aoo S(t), because it is a real and even h(-t) SrtTlTlctric function. Thcn, 15o (t) 2 1 HAX J S(t)h(T-t) dt I~ IJ S(t) S'(t-T) dtl~(3a) 403 and 15o (t) IMA2 x = r2ss (O) (3b) Now, the average power oí noise is (4) _00 2 withIN(w) 1 the noise power speetrum and lI(w) the transferenee funetion of the Matehed Filter. In white noise we have IN(w) 12= I and the Eq. (4) is 00 <n2 (O) > -L 2~ J III(w)12dw using the Wiener-Khintehine have theorem. = o 2 <n (0» o = r ss (S) But, replaeing (2) into (S) we (O) (6) and using (3) and (6) in (1), we obtain SNR o = For a triangular r ss(O) (7) pulse, defincd as _lU T ( -T••t<I") (8) O (otherwise) 404 summer~ed into white noise, wc have 2 3 T SNRo = 2. (9) DETERMINA TI 00 OF 1HE SNR Now we will calculate stage Re Iow-pass the signal-to-noise band (SNR) as suboptimal filter case. thc IRF oí the device and its related (Fig. transfer FOORIER'S TRANSFORM t -tit -c h(t) = ratio 2 Re and T= SNR = Replacing with A = the SNR. w= 2nv. The signal-to.noise 2). In this funetían are f1(w) T with far the two- I ---2.(lOa,b) (l+iwT) ratio is defined as ISo(t)l~x (11) <n2 (O) > o (IOa,b) into T/T and x = (3a) and (4) and this (t-T)/T. All solutions 3. result into (11) we obtain For each A trere is an x which maximizes with x>A implies that the pulse does not existo • DETERMINATlooOF TItE EFFICIENCY The efficiency E = SNR --.100% SNRo of any suboptimal filter i5 (13) 405 1 .,__,._. .__T__ e SIH+II(., Fig. 2 The two-stage operational w~en Re S u.)+n.lt) _aT__ ._~"_ n l •• low-pass band sub-optimal filter Note amplifier with unitary gaio used as accoplator the two steps of the circuito the bet- Then, for this case the cfficicncy is given by 6 3" {IAc A E -A - (2+x)(1-e -A -x )1 e which graph is shown in Fig. 3. + 2(1-c -x )-x(l+e -x ) + A) 2 (14) Aftcr the maximization oí W efficiency we obtain thc following results: EMAX = 88\ = -0.56 db A b Fig. 3 Graph of the efficiency filter in comparison curve 3.2055 l!> 10 tor the two-stage with the Matehed Filter. Re low-pass band 406 4. i) We can observe twa-stage from the results Re low-pass ii) In the implementatíansignal-to-noise the high cfficiency of the subopti.maI with a 1055 srnaller than 1 <lb. filter, is usual better gain at the output because to send a train of pulses to obtain a SNR¡-=(N'BT)SNR¡" where SNR¡- is the ratio fer the train, SNRp is the signal-to-noisc far an individual the bandwidth C~llJSICNS ratio pulse oí the train, N is the number oí pulses, and T is the duration of any pulse. The product B is BT is the Ilumber of modes transmi ted. üi) The forbidden zone for the efficiency x>aA with ex a real number. function In thi5 case, is strictly defined as we use a=l. The author acknowledges the important corranents oí Dr. Pcter Barlai fer thi5 article and the special way the colaboratíon fieda in a oí Proí. Román Casta realizatíon oí the computer programs. BIBLIOGRAPHY 1. 2. 3. 4. 5. 6. M. Skolnik, IntADduction te RadaA Sy~tem6,McGraw-Hil1, New York (1962). J. Mi11man and H. Taub,Puloe and Vigitai C<Acuith. McGraw-Hi11. ~ew York (1965). G.L. Turio, llAn introduction to Digital Matched Filtersll, PILOt. IEEE, 64 (1976)1092. n. Turin, "Minimax strategies for Matched Fi1ter detection", IEEE TIW.'I.6. Como 23 (1975)1370. 1. Yamabuchi-;l. Takagi and K. Mano. "Natched fi1ters for rectangular, raised cosine and sine wave signals", IEEE, TIW.M.Com. 19 (1971)369. G.W. Carlock. "The two-stage Re low-pass Matched Fi1ter"":" IEEE TIW.M. Como 20 (1972) 73.