By J. Hamkins, et al.,
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2-7. NΦ is the number of bits used in the integration process (a multiple of 1000 bits), and Si denotes error count for each code phase, Φi . If the diﬀerence in the error counts is suﬃciently large, |S0 − S1 | ≥ α0 (α0 is a pre-determined threshold between 0 and 255) and the smallest of the two error counts, SΦ min , is less than a second pre-determined threshold α1 (between 0 and 2048), then the node phase is set to the phase associated with the minimum error count and acquisition is completed.
This monograph derives architectures for each of these from scratch, in most cases by formulating the ML criterion for the estimator and attempting to solve it analytically. This led to excellent solutions for modulation classiﬁcation, SNR estimation, and frequency tracking. In some other cases, the ML solution was not tractable, and promising ad hoc schemes were identiﬁed. We brieﬂy summarize the status of the design and analysis of some of these estimators below. 1 Carrier Phase Tracking In autonomous radio operation, it is desired that the receiver contain a carriersynchronization structure that is generic in the sense that it is capable of tracking the carrier phase independently of the modulation.
If the correct codeword is not obtained, then the bit likelihoods can be used to generate a soft data-wipe of the received signal. This makes the signal more like a continuous wave (CW) signal, which will allow the SNR, frequency, and phase estimates to be substantially improved, which will in turn produce better inputs for the decoder to operate on in its second iteration. This behavior of coupled or iterative estimation has been observed before [16,18]. 5 A Demonstration Testbed NASA is developing a software demonstration testbed of the autonomous radio described in this chapter.
Autonomous Software-Defined Radio Receivers for Deep Space Applns by J. Hamkins, et al.,