Signal Processing - September 2017 - 75
Note that, in this process, the receiver
and the PRN sequence of each satellite in
DPE receivers are able
also needs to estimate the receiver clock
view, in an individual way. On the other
to enhance tracking
bias dt that represents the offset between
hand, DPE defines a set of candidate posiand positioning under
the receiver time and the GNSS time.
tions, determines the associated time delays
challenging scenarios
This positioning approach has established
with the positions, and computes the energy
such as multipath
itself as the de facto technique for GNSS
found at the different correlation outputs, in
propagation or weak
receivers. This is due to its modularity,
a joint manner. In a way, the local replica
reuse of well-known receiver blocks, and,
is generated as a result of jointly combinsignal conditions.
importantly, notable performance over
ing all signals. Then the tentative position
the years. The two-steps technique will
that jointly maximizes correlation with all
be referred to as the conventional approach throughout the
considered satellites is selected through optimization of a cost
remainder of the article
function. The cost function appears as a result of deriving the
MLE of the PVT parameters directly from the received signal
DPE
(1), yielding to the maximization of the addition of CAFs over
The proposal of new techniques is blooming due to the advancthe M visible satellites [22], [23]:
es in digital signal processing devices, which allow increased
M
computational complexity at faster rates [18]. Recently, fundat
(5)
c
=
argmax
K i (x i (c), fd i (c), N c, N nc) 3,
/
)
mental modifications to the conventional receiver architecture
i= 1
in Figure 1(a) were proposed. Here we refer to those approaches that not only substitute certain parts of the receiver by more
sophisticated algorithms, but those that entail an essential
where the function K i (x i, fd i, N c, N nc) is defined analogousmodification of the receiver's operation. Figure 1(b) shows an
ly as in (2). This maximization contrasts to the one obtained
advanced architecture for a receiver that integrates code/carin the conventional two-steps procedures, where each CAF
rier tracking loops and the navigation solution in a single step.
is optimized independently as for (2). More on intuitive reaThis is the basis of the so-called DPE concept introduced in
soning, adding up the energy of all satellites' contributions
[13] in the context of GNSS receivers. Figure 1(b) shows that
should increase the performance of a DPE-based solution
the acquisition mode in DPE involves an initial PVT solution
when compared to two-steps solutions where each satellite is
obtained from a conventional two-steps receiver operation,
treated independently.
which is used to initialize DPE's algorithm implemented in
The main features of this single-step approach are as
tracking mode. DPE is a completely different approach to
follows:
the receiver design, where PVT solution is estimated in one
■ More information is used in the synchronization process
step. Rather than estimating a set of observables (through
thanks to the (geometrical) coupling among channels,
time delay and Doppler shifts) to infer the associated PVT,
exploiting the inherent redundancy of the system (for
a DPE-enabled receiver directly estimates PVT from the
instance, considering information of all of the constellareceived signal x (t) . The method was first introduced in the
tions when synchronizing one satellite); the key idea is to
context of localization of narrowband radio-frequency transensure that all time delays (and Doppler shifts) are referred
mitters [19] and for multiple radio signals [20]. In the context
to the same receiver location, a fact not used in the twoof self-localization, [13] presented the approach for GNSS
steps approach.
receivers, and related works exist under the collective detec■ M two-dimensional (i.e., delay and Doppler) optimization literature [21].
tion problems must be solved to estimate each pair
The key idea is to realize that time delays and Doppler
" x i, fd i ,iM= 1 _ " y i ,iM= 1 in the two-steps approach, which is
shifts of all satellites are intimately related to one another
transformed into a single n c -dimensional problem in
through the receiver motion parameters (which we gather in
DPE's framework.
a vector c ! R n ). The fact that all those signals are received
■ Use of prior/side information appears naturally since estiat the same location and at the same time instant is crucial.
mated parameters are related to the receiver's motion for
Inspecting (3) and (4), we can readily identify that x _ x ^ch
which a number of sensors are available; in contrast, addand fd _ fd ^ch, respectively. Therefore, given a value for
ing side information on the evolution of x i or fd i is not
c , it implies a value for all satellites' time delays and Dopintuitive [24].
pler shifts. One of the simplest configurations for c could be
As a consequence, receivers based on the DPE approach are
<
< <
c = 6p , v , dt@ , encompassing PVT parameters.
able to enhance tracking of satellites and deliver PVT under
Intuitively, one can see the DPE approach as the inverse
challenging scenarios such as multipath propagation or weak
process of the conventional approach in what concerns the
signal and fading conditions. Contrary to two-steps architecrelation between the user position and the time delays. Contures, the DPE approach has the ability to use (and extract
sider some observations with the carrier wiped off. On the
useful information from) weak signals and cope with signal
one hand, the conventional approach estimates the different
blockages, allowing fast recovery and even operating with low
time delays by maximizing the correlation between the signal
satellite coverage [25].
c
c
IEEE SIGNAL PROCESSING MAGAZINE
|
September 2017
|
75
Table of Contents for the Digital Edition of Signal Processing - September 2017
Signal Processing - September 2017 - Cover1
Signal Processing - September 2017 - Cover2
Signal Processing - September 2017 - 1
Signal Processing - September 2017 - 2
Signal Processing - September 2017 - 3
Signal Processing - September 2017 - 4
Signal Processing - September 2017 - 5
Signal Processing - September 2017 - 6
Signal Processing - September 2017 - 7
Signal Processing - September 2017 - 8
Signal Processing - September 2017 - 9
Signal Processing - September 2017 - 10
Signal Processing - September 2017 - 11
Signal Processing - September 2017 - 12
Signal Processing - September 2017 - 13
Signal Processing - September 2017 - 14
Signal Processing - September 2017 - 15
Signal Processing - September 2017 - 16
Signal Processing - September 2017 - 17
Signal Processing - September 2017 - 18
Signal Processing - September 2017 - 19
Signal Processing - September 2017 - 20
Signal Processing - September 2017 - 21
Signal Processing - September 2017 - 22
Signal Processing - September 2017 - 23
Signal Processing - September 2017 - 24
Signal Processing - September 2017 - 25
Signal Processing - September 2017 - 26
Signal Processing - September 2017 - 27
Signal Processing - September 2017 - 28
Signal Processing - September 2017 - 29
Signal Processing - September 2017 - 30
Signal Processing - September 2017 - 31
Signal Processing - September 2017 - 32
Signal Processing - September 2017 - 33
Signal Processing - September 2017 - 34
Signal Processing - September 2017 - 35
Signal Processing - September 2017 - 36
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Signal Processing - September 2017 - 69
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Signal Processing - September 2017 - 71
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Signal Processing - September 2017 - 73
Signal Processing - September 2017 - 74
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Signal Processing - September 2017 - 76
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Signal Processing - September 2017 - 88
Signal Processing - September 2017 - 89
Signal Processing - September 2017 - 90
Signal Processing - September 2017 - 91
Signal Processing - September 2017 - 92
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Signal Processing - September 2017 - 95
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Signal Processing - September 2017 - 97
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Signal Processing - September 2017 - 99
Signal Processing - September 2017 - 100
Signal Processing - September 2017 - 101
Signal Processing - September 2017 - 102
Signal Processing - September 2017 - 103
Signal Processing - September 2017 - 104
Signal Processing - September 2017 - 105
Signal Processing - September 2017 - 106
Signal Processing - September 2017 - 107
Signal Processing - September 2017 - 108
Signal Processing - September 2017 - 109
Signal Processing - September 2017 - 110
Signal Processing - September 2017 - 111
Signal Processing - September 2017 - 112
Signal Processing - September 2017 - 113
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Signal Processing - September 2017 - 115
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Signal Processing - September 2017 - 117
Signal Processing - September 2017 - 118
Signal Processing - September 2017 - 119
Signal Processing - September 2017 - 120
Signal Processing - September 2017 - 121
Signal Processing - September 2017 - 122
Signal Processing - September 2017 - 123
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Signal Processing - September 2017 - 125
Signal Processing - September 2017 - 126
Signal Processing - September 2017 - 127
Signal Processing - September 2017 - 128
Signal Processing - September 2017 - 129
Signal Processing - September 2017 - 130
Signal Processing - September 2017 - 131
Signal Processing - September 2017 - 132
Signal Processing - September 2017 - 133
Signal Processing - September 2017 - 134
Signal Processing - September 2017 - 135
Signal Processing - September 2017 - 136
Signal Processing - September 2017 - 137
Signal Processing - September 2017 - 138
Signal Processing - September 2017 - 139
Signal Processing - September 2017 - 140
Signal Processing - September 2017 - 141
Signal Processing - September 2017 - 142
Signal Processing - September 2017 - 143
Signal Processing - September 2017 - 144
Signal Processing - September 2017 - 145
Signal Processing - September 2017 - 146
Signal Processing - September 2017 - 147
Signal Processing - September 2017 - 148
Signal Processing - September 2017 - 149
Signal Processing - September 2017 - 150
Signal Processing - September 2017 - 151
Signal Processing - September 2017 - 152
Signal Processing - September 2017 - 153
Signal Processing - September 2017 - 154
Signal Processing - September 2017 - 155
Signal Processing - September 2017 - 156
Signal Processing - September 2017 - 157
Signal Processing - September 2017 - 158
Signal Processing - September 2017 - 159
Signal Processing - September 2017 - 160
Signal Processing - September 2017 - 161
Signal Processing - September 2017 - 162
Signal Processing - September 2017 - 163
Signal Processing - September 2017 - 164
Signal Processing - September 2017 - 165
Signal Processing - September 2017 - 166
Signal Processing - September 2017 - 167
Signal Processing - September 2017 - 168
Signal Processing - September 2017 - 169
Signal Processing - September 2017 - 170
Signal Processing - September 2017 - 171
Signal Processing - September 2017 - 172
Signal Processing - September 2017 - 173
Signal Processing - September 2017 - 174
Signal Processing - September 2017 - 175
Signal Processing - September 2017 - 176
Signal Processing - September 2017 - 177
Signal Processing - September 2017 - 178
Signal Processing - September 2017 - 179
Signal Processing - September 2017 - 180
Signal Processing - September 2017 - 181
Signal Processing - September 2017 - 182
Signal Processing - September 2017 - 183
Signal Processing - September 2017 - 184
Signal Processing - September 2017 - 185
Signal Processing - September 2017 - 186
Signal Processing - September 2017 - 187
Signal Processing - September 2017 - 188
Signal Processing - September 2017 - 189
Signal Processing - September 2017 - 190
Signal Processing - September 2017 - 191
Signal Processing - September 2017 - 192
Signal Processing - September 2017 - 193
Signal Processing - September 2017 - 194
Signal Processing - September 2017 - 195
Signal Processing - September 2017 - 196
Signal Processing - September 2017 - Cover3
Signal Processing - September 2017 - Cover4
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